Environment for
DeveLoping
KDD-Applications
Supported by Index-Structures
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z _

M

m - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK
The values of the helper function m to determine the pointer representation.
m - Variable in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.ApproximationLine
The incline.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.LUDecomposition
Row and column dimensions, and pivot sign.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.QRDecomposition
Row and column dimensions.
m - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.SingularValueDecomposition
Row and column dimensions.
m - Variable in class de.lmu.ifi.dbs.elki.math.statistics.LinearRegression
 
m_czech - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
The dissimilarity matrix.
m_hat - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.pca.PCAFilteredResult
The similarity matrix.
m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Holds the value of PROCLUS.M_I_PARAM.
M_I_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
OptionID for PROCLUS.M_I_PARAM
M_I_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Parameter to specify the multiplier for the initial number of medoids, must be an integer greater than 0.
magic - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Magic number used to identify files
mahalanobisDistance(Matrix, Vector) - Static method in class de.lmu.ifi.dbs.elki.math.MathUtil
 
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheDoubleDistanceInOnDiskMatrix
Main method, delegate to super class.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.cache.CacheFloatDistanceInOnDiskMatrix
Main method, delegate to super class.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.GeneratorXMLSpec
Main method to run this wrapper.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.CheckELKIProperties
Main method.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer
Main method to run this wrapper.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Calls test for a given number of numbers and a optionally given target file.
main(String[]) - Static method in class de.lmu.ifi.dbs.elki.KDDTask
Runs a KDD task accordingly to the specified parameters.
mainPanel - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
Main panel
make() - Method in class de.lmu.ifi.dbs.elki.math.Histogram.Constructor
Construct a new T when needed.
make() - Method in class de.lmu.ifi.dbs.elki.math.Histogram
Call the constructor to produce a new element, if possible.
makeByclassOverview(HashMapList<Class<?>, Option<?>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
makeByoptOverview(HashMapList<OptionID, Pair<Option<?>, Class<?>>>) - Static method in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
makeDatabaseFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.LabelsFromClustering
Retrieve a cloned database that - does not contain noise points - has labels assigned based on the given clustering Useful for e.g. training a classifier based on a clustering.
makeDatabasesFromClustering(Database<O>, R, Class<L>) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering
Use an existing clustering to partition a database.
makeDatabasesFromClustering(Database<O>, R) - Method in class de.lmu.ifi.dbs.elki.database.PartitionsFromClustering
Use an existing clustering to partition a database.
maker - Variable in class de.lmu.ifi.dbs.elki.math.Histogram
Constructor for new elements
makeStyleElement(Document) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager
Make a (filled) CSS style element for the given document.
makeStyleElement(Document) - Static method in class de.lmu.ifi.dbs.elki.visualization.svg.SVGUtil
Make a new CSS style element for the given Document.
managerStarted(UpdateManagerEvent) - Method in class de.lmu.ifi.dbs.elki.visualization.batikutil.RunWhenReadyAndVisible
React to an update manager becoming available.
ManhattanDistanceFunction<V extends NumberVector<V,?>> - Class in de.lmu.ifi.dbs.elki.distance.distancefunction
Manhattan distance function to compute the Manhattan distance for a pair of NumberVectors.
ManhattanDistanceFunction() - Constructor for class de.lmu.ifi.dbs.elki.distance.distancefunction.ManhattanDistanceFunction
Provides a Manhattan distance function that can compute the Manhattan distance (that is a DoubleDistance) for FeatureVectors.
manhattanSegmentalDistance(V, V, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS
Returns the Manhattan segmental distance between o1 and o2 realtive to the specified dimensions.
map - Variable in class de.lmu.ifi.dbs.elki.persistent.LRUCache
The map holding the objects of this cache.
map - Variable in class de.lmu.ifi.dbs.elki.result.AnnotationFromHashMap
Store the hashmap for results.
map - Variable in class de.lmu.ifi.dbs.elki.result.ClusterOrderResult
Map of object IDs to their cluster order entry
map - Variable in class de.lmu.ifi.dbs.elki.result.OrderingFromHashMap
HashMap with object values
map - Variable in class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
HashMap of open print streams.
markAsAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit
Marks this unit as assigned to a cluster.
MarkerLibrary - Interface in de.lmu.ifi.dbs.elki.visualization.svg
A marker library is a class that can generate and draw various styles of markers.
matches(String) - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction
Returns true if the given pattern matches the pattern defined, false otherwise.
materialized - Variable in class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor
Materialized neighborhood
MaterializeDistances<V extends RealVector<V,?>,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.algorithm
Algorithm to materialize all the distances in a data set.
MaterializeDistances() - Constructor for class de.lmu.ifi.dbs.elki.algorithm.MaterializeDistances
Empty constructor.
MaterializeKNNPreprocessor<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.preprocessing
A preprocessor for annotation of the k nearest neighbors (and their distances) to each database object.
MaterializeKNNPreprocessor() - Constructor for class de.lmu.ifi.dbs.elki.preprocessing.MaterializeKNNPreprocessor
Provides a k nearest neighbors Preprocessor.
materializeROC(int, Collection<Integer>, Iterator<Pair<C, Integer>>) - Static method in class de.lmu.ifi.dbs.elki.evaluation.roc.ROC
Compute a ROC curve given a set of positive IDs and a sorted list of (comparable, ID)s, where the comparable object is used to decided when two objects are interchangeable.
MathUtil - Class in de.lmu.ifi.dbs.elki.math
A collection of math related utility functions.
MathUtil() - Constructor for class de.lmu.ifi.dbs.elki.math.MathUtil
 
Matrix - Class in de.lmu.ifi.dbs.elki.math.linearalgebra
The Matrix Class represents real-valued matrices.
Matrix() - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Basic-constructor for use in complex constructors only.
Matrix(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Constructs an m-by-n matrix of zeros.
Matrix(int, int, double) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Constructs an m-by-n constant matrix.
Matrix(double[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Constructs a matrix from a 2-D array.
Matrix(RationalNumber[][]) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Constructs a Matrix for a given array of arrays of RationalNumbers.
Matrix(double[], int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
Construct a matrix from a one-dimensional packed array
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
OptionID for DiskCacheBasedDoubleDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
OptionID for DiskCacheBasedFloatDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
OptionID for FileBasedDoubleDistanceFunction.MATRIX_PARAM
MATRIX_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
OptionID for FileBasedFloatDistanceFunction.MATRIX_PARAM
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedDoubleDistanceFunction
Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.DiskCacheBasedFloatDistanceFunction
Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedDoubleDistanceFunction
Parameter that specifies the name of the directory to be re-parsed.
MATRIX_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.distancefunction.external.FileBasedFloatDistanceFunction
Parameter that specifies the name of the directory to be re-parsed.
matrixsize - Variable in class de.lmu.ifi.dbs.elki.persistent.OnDiskUpperTriangleMatrix
Size of the matrix
max - Variable in class de.lmu.ifi.dbs.elki.data.Interval
The maximum (right) value of this interval.
max - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution
Maximum
max(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil
Returns the maximum of the given Distances or the first, if none is greater than the other one.
max(List<D>, List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Returns an array that holds the maximum values of the both specified arrays in each index.
MAX - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator
Indicates the comparison of the max values of the entries' MBRs.
max - Variable in class de.lmu.ifi.dbs.elki.math.Histogram
To avoid introducing an extra bucket for the maximum value.
max(Map<Integer, Set<Integer>>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
Returns the set with the maximum size contained in the specified map.
max - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox
The coordinates of the 'upper right' (= maximum) hyper point.
max - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale
max value of the scale
max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
Degree of the polynomial kernel function
MAX_DEGREE_ID - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
OptionID for FooKernelFunction.MAX_DEGREE_PARAM
MAX_DEGREE_PARAM - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction
Parameter for the maximum degree
maxCacheSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap
The maximum number of deaps in the cache, corresponds to the maximum height of this heap.
maxDeapIndex - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap
The maximum index of a deap in this heap (corresponds to the maximum number of deaps - 1)
maxDeapSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap
The maximum size of a deap.
maxima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
Stores the maximum in each dimension.
MAXIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
OptionID for AttributeWiseMinMaxNormalization.MAXIMA_PARAM
MAXIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
Parameter for maximum.
maximalExtensionPartition(List<N>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.BulkSplit
Partitions the specified feature vectors where the split axes are the dimensions with maximum extension
maximumIndex - Variable in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
The maximal occurring index of any dimension.
maxIntegerDigits(double[][]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Returns the maximum integer digits in each column of the specified values.
maxIntegerDigits(double[]) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.LinearEquationSystem
Returns the maximum integer digits of the specified values.
maxIntersection(Map<Integer, Set<Integer>>, Set<Integer>, Set<Integer>) - Method in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
Returns the index of the set having the maximum intersection set with the specified set contained in the specified map.
maxLevel - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Holds the value of CASH.MAXLEVEL_PARAM.
MAXLEVEL_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
OptionID for CASH.MAXLEVEL_PARAM.
MAXLEVEL_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Parameter to specify the maximum level for splitting the hypercube, must be an integer greater than 0.
maxNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap
Retrieves, but does not remove, the maximum node of this heap.
MAXRESOLUTION - Static variable in class de.lmu.ifi.dbs.elki.application.visualization.KNNExplorer.ExplorerWindow
Maximum resolution for plotted lines to improve performance for long time series.
maxruns - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Maximum number of iterations in run()
maxSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap
The maximum size of this deap.
maxsmall - Variable in class de.lmu.ifi.dbs.elki.math.linearalgebra.fitting.LevenbergMarquardtMethod
Maximum number of small improvements (stopping condition)
maxSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit
The entries sorted according to their max values of their MBRs.
maxSplitDimension - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHInterval
Holds the maximum dimension which has already been splitted.
mbr() - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.AbstractRStarTreeNode
 
mbr(List<E>, int, int) - Method in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit
Computes and returns the mbr of the specified nodes, only the nodes between from and to index are considered.
mbr - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDirectoryEntry
The minimum bounding rectangle of the underlying spatial node.
mbr() - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialNode
Computes and returns the MBR of this spatial object.
mean - Variable in class de.lmu.ifi.dbs.elki.data.model.EMModel
Cluster mean
mean - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.NormalDistribution
Mean value for the generator
mean - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
Stores the mean in each dimension.
MEAN_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
OptionID for AttributeWiseVarianceNormalization.MEAN_PARAM
MEAN_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseVarianceNormalization
Parameter for means.
means(List<List<Integer>>, List<V>, Database<V>) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.KMeans
Returns the mean vectors of the given clusters in the given database.
MeanVariance - Class in de.lmu.ifi.dbs.elki.math
Do some simple statistics (mean, average).
MeanVariance() - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance
Empty constructor
MeanVariance(double, double, double) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance
Constructor from full internal data.
MeanVariance(MeanVariance) - Constructor for class de.lmu.ifi.dbs.elki.math.MeanVariance
Constructor from other instance
MeanVarianceHistogram(int, double, double) - Static method in class de.lmu.ifi.dbs.elki.math.Histogram
Convenience constructor for MeanVariance-based Histograms.
MeasurementFunction<O extends DatabaseObject,D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.distance
Interface Measurement describes the requirements of any measurement function (e.g. distance function or similarity function), that provides a measurement for comparing database objects.
members - Variable in class de.lmu.ifi.dbs.elki.data.MultiInstanceObject
Holds the members of this MultiInstanceObject.
MemoryPageFile<P extends Page<P>> - Class in de.lmu.ifi.dbs.elki.persistent
A memory based implementation of a PageFile that simulates I/O-access.
MemoryPageFile(int, int, Cache<P>) - Constructor for class de.lmu.ifi.dbs.elki.persistent.MemoryPageFile
Creates a new MemoryPageFile that is supported by a cache with the specified parameters.
merge(Database<V>, List<ORCLUS<V>.ORCLUSCluster>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS
Reduces the number of seeds to k_new
mergeCSSFrom(CSSClassManager) - Method in class de.lmu.ifi.dbs.elki.visualization.css.CSSClassManager
Merge CSS classes, for example to merge two plots.
message(String) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil
Static version to log a 'info' message.
message(String, Throwable) - Static method in class de.lmu.ifi.dbs.elki.logging.LoggingUtil
Static version to log a 'info' message.
MessageFormatter - Class in de.lmu.ifi.dbs.elki.logging
A formatter to simply retrieve the message of an LogRecord without printing origin information.
MessageFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFormatter
Provides a message formatter to simply retrieve the message of an LogRecord.
META_SETTINGS - Static variable in class de.lmu.ifi.dbs.elki.database.AssociationID
Meta-data: algorithm settings
MetadataResult - Class in de.lmu.ifi.dbs.elki.result
Result to store meta data.
MetadataResult() - Constructor for class de.lmu.ifi.dbs.elki.result.MetadataResult
Constructor.
MetaParser<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.parser.meta
A MetaParser uses any Parser as specified by the user via parameter setting as base parser and may perform certain transformations on the retrieved ParsingResult.
MetaParser() - Constructor for class de.lmu.ifi.dbs.elki.parser.meta.MetaParser
Sets the parameter for setting the base parser.
MetricalEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical
Marker interface for entries in a node of a metrical index.
MetricalIndex<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MetricalEntry> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical
Abstract super class for all metrical index classes.
MetricalIndex() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.MetricalIndex
 
MetricalIndexDatabase<O extends DatabaseObject,D extends Distance<D>,N extends MetricalNode<N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.database
MetricalIndexDatabase is a database implementation which is supported by a metrical index structure.
MetricalIndexDatabase() - Constructor for class de.lmu.ifi.dbs.elki.database.MetricalIndexDatabase
Constructor
MetricalNode<N extends MetricalNode<N,E>,E extends MetricalEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical
Marker interface for objects that can be used as nodes in a metrical index.
min - Variable in class de.lmu.ifi.dbs.elki.data.Interval
The minimum (left) value of this interval.
min - Variable in class de.lmu.ifi.dbs.elki.data.synthetic.bymodel.distribution.UniformDistribution
Minimum
min(D, D) - Static method in class de.lmu.ifi.dbs.elki.distance.DistanceUtil
Returns the minimum of the given Distances or the first, if none is less than the other one.
MIN - Static variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialComparator
Indicates the comparison of the min values of the entries' MBRs.
min - Variable in class de.lmu.ifi.dbs.elki.utilities.HyperBoundingBox
The coordinates of the 'lower left' (= minimum) hyper point.
min - Variable in class de.lmu.ifi.dbs.elki.visualization.scales.LinearScale
min value of the scale
MIN_LOGLIKELIHOOD - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.EM
 
min_max(Database<RealVector<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.DatabaseUtil
Determines the minimum and maximum values in each dimension of all objects stored in the given database.
minChild(int) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.DefaultHeap
Returns the index of the smaller child of the node at index i.
minDim - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Holds the value of CASH.MINDIM_PARAM.
MINDIM_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
OptionID for CASH.MINDIM_PARAM
MINDIM_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Parameter to specify the minimum dimensionality of the subspaces to be found, must be an integer greater than 0.
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
 
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuclideanDistanceFunction
 
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
 
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction
 
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
 
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionSelectingDistanceFunction
 
minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
 
minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.subspace.DimensionsSelectingEuclideanDistanceFunction
 
minDist(HyperBoundingBox, V) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction
Computes the minimum distance between the given MBR and the FeatureVector object according to this distance function.
minDist(HyperBoundingBox, Integer) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction
Computes the minimum distance between the given MBR and the FeatureVector object with the given id according to this distance function.
minfreq - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Holds the value of APRIORI.MINFREQ_PARAM.
MINFREQ_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
OptionID for APRIORI.MINFREQ_PARAM
MINFREQ_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Optional parameter to specify the threshold for minimum frequency, must be a double greater than or equal to 0 and less than or equal to 1.
minima - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
Stores the minimum in each dimension.
MINIMA_ID - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
OptionID for AttributeWiseMinMaxNormalization.MINIMA_PARAM
MINIMA_PARAM - Variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseMinMaxNormalization
Parameter for minimum.
MinimalMarkers - Class in de.lmu.ifi.dbs.elki.visualization.svg
Simple marker library that just draws colored crosses at the given coordinates.
MinimalMarkers() - Constructor for class de.lmu.ifi.dbs.elki.visualization.svg.MinimalMarkers
Constructor
MinMax<T extends Comparable<? super T>> - Class in de.lmu.ifi.dbs.elki.math
Class to find the minimum and maximum double values in data.
MinMax() - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax
Constructor without starting values.
MinMax(T, T) - Constructor for class de.lmu.ifi.dbs.elki.math.MinMax
Constructor with predefined minimum and maximum values.
MinMaxHeap<K extends Comparable<K>,V extends Identifiable> - Class in de.lmu.ifi.dbs.elki.utilities.heap
A double-ended priority queue implemented as a binary heap.
MinMaxHeap() - Constructor for class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap
Constructs and initializes a new min-max-heap.
minNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap
Retrieves, but does not remove, the minimum node of this heap.
minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.cash.CASHIntervalSplit
Minimum points.
minPts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Holds the value of CASH.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Holds the value of DBSCAN.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
Holds the value of OPTICS.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
Holds the value of ProjectedDBSCAN.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Holds the value of SNNClustering.MINPTS_PARAM.
minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
Threshold for minimum number of points in the neighborhood.
minpts - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
Holds the value of parameter minpts.
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
OptionID for CASH.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
OptionID for DBSCAN.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
OptionID for DeLiClu.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
OptionID for OPTICS.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
OptionID for ProjectedDBSCAN.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
OptionID for SNNClustering.MINPTS_PARAM
MINPTS_ID - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
OptionID for DiSHPreprocessor.MINPTS_PARAM
MINPTS_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
Option name
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.CASH
Parameter to specify the threshold for minimum number of points in a cluster, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DBSCAN
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.DeLiClu
Parameter to specify the threshold for minimum number of points within a cluster, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.OPTICS
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering
Parameter to specify the threshold for minimum number of points in the epsilon-SNN-neighborhood of a point, must be an integer greater than 0.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor
Parameter Minpts.
MINPTS_PARAM - Variable in class de.lmu.ifi.dbs.elki.preprocessing.ProjectedDBSCANPreprocessor
Parameter to specify the threshold for minimum number of points in the epsilon-neighborhood of a point, must be an integer greater than 0.
minSorting - Variable in class de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.TopologicalSplit
The entries sorted according to their min values of their MBRs.
minsupp - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Holds the value of APRIORI.MINSUPP_PARAM.
MINSUPP_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
OptionID for APRIORI.MINSUPP_PARAM
MINSUPP_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.APRIORI
Parameter to specify the threshold for minimum support as minimally required number of transactions, must be an integer equal to or greater than 0.
minus(N) - Method in interface de.lmu.ifi.dbs.elki.data.Arithmetic
Subtracts the given number from this number.
minus(RationalNumber) - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
 
minus(BitDistance) - Method in class de.lmu.ifi.dbs.elki.distance.BitDistance
 
minus(D) - Method in class de.lmu.ifi.dbs.elki.distance.CorrelationDistance
 
minus(D) - Method in interface de.lmu.ifi.dbs.elki.distance.Distance
Returns a new Distance by subtracting the given distance from this distance.
minus(DoubleDistance) - Method in class de.lmu.ifi.dbs.elki.distance.DoubleDistance
 
minus(FloatDistance) - Method in class de.lmu.ifi.dbs.elki.distance.FloatDistance
 
minus(IntegerDistance) - Method in class de.lmu.ifi.dbs.elki.distance.IntegerDistance
 
minus(PreferenceVectorBasedCorrelationDistance) - Method in class de.lmu.ifi.dbs.elki.distance.PreferenceVectorBasedCorrelationDistance
 
minus(SubspaceDistance) - Method in class de.lmu.ifi.dbs.elki.distance.SubspaceDistance
 
minus(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
C = A - B
minus(Vector) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Vector
Returns this vector minus the specified vector v.
minusEquals(Matrix) - Method in class de.lmu.ifi.dbs.elki.math.linearalgebra.Matrix
A = A - B
mixMagic(int, int) - Static method in class de.lmu.ifi.dbs.elki.persistent.OnDiskArray
Mix two magic numbers into one, to obtain a combined magic.
MkAppDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents an entry in a directory node of a MkApp-Tree.
MkAppDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Empty constructor for serialization purposes.
MkAppDirectoryEntry(Integer, D, Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppDirectoryEntry
Provides a new MkCoPDirectoryEntry with the given parameters.
MkAppEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Defines the requirements for an entry in an MkCop-Tree node.
MkAppLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents an entry in a leaf node of a MkApp-Tree.
MkAppLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Empty constructor for serialization purposes.
MkAppLeafEntry(Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppLeafEntry
Provides a new MkAppLeafEntry with the given parameters.
MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
MkAppTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkAppTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTree
Creates a new MkCopTree.
MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp
Represents a node in an MkApp-Tree.
MkAppTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Empty constructor for Externalizable interface.
MkAppTreeNode(PageFile<MkAppTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp.MkAppTreeNode
Creates a MkAppTreeNode object.
MkCoPDirectoryEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents an entry in a directory node of an MkCop-Tree.
MkCoPDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Empty constructor for serialization purposes.
MkCoPDirectoryEntry(Integer, D, Integer, D, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPDirectoryEntry
Provides a new MkCoPDirectoryEntry with the given parameters.
MkCoPEntry<D extends NumberDistance<D,N>,N extends Number> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Defines the requirements for an entry in an MkCop-Tree node.
MkCoPLeafEntry<D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents an entry in a leaf node of a MkCoP-Tree.
MkCoPLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Empty constructor for serialization purposes.
MkCoPLeafEntry(Integer, D, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPLeafEntry
Provides a new MkCoPLeafEntry with the given parameters.
MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
MkCopTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkCoPTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTree
Creates a new MkCopTree.
MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop
Represents a node in an MkCop-Tree.
MkCoPTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
Empty constructor for Externalizable interface.
MkCoPTreeNode(PageFile<MkCoPTreeNode<O, D, N>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop.MkCoPTreeNode
Creates a MkCoPTreeNode object.
MkMaxDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents an entry in a directory node of an MkMaxTree.
MkMaxDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
Empty constructor for serialization purposes.
MkMaxDirectoryEntry(Integer, D, Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxDirectoryEntry
Provides a new MkMaxDirectoryEntry with the given parameters.
MkMaxEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Defines the requirements for an entry in an MkMaxTreeNode.
MkMaxLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents an entry in a leaf node of an MkMaxTree.
MkMaxLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
Empty constructor for serialization purposes.
MkMaxLeafEntry(Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxLeafEntry
Provides a new MkMaxLeafEntry with the given parameters.
MkMaxTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
MkMaxTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k <= k_max.
MkMaxTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTree
Creates a new MkMaxTree.
MkMaxTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax
Represents a node in an MkMaxTree.
MkMaxTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Empty constructor for Externalizable interface.
MkMaxTreeNode(PageFile<MkMaxTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkmax.MkMaxTreeNode
Creates a new MkMaxTreeNode object.
MkTabDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents an entry in a directory node of a MkTab-Tree.
MkTabDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
Empty constructor for serialization purposes.
MkTabDirectoryEntry(Integer, D, Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabDirectoryEntry
Provides a new MkMaxDirectoryEntry with the given parameters.
MkTabEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
Defines the requirements for an entry in an MkCop-Tree node.
MkTabLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents an entry in a leaf node of a MkTab-Tree.
MkTabLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
Empty constructor for serialization purposes.
MkTabLeafEntry(Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabLeafEntry
Provides a new MkMaxLeafEntry with the given parameters.
MkTabTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
MkTabTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries for parameter k < kmax.
MkTabTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTree
Creates a new MkNNTabTree.
MkTabTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab
Represents a node in a MkMax-Tree.
MkTabTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
Empty constructor for Externalizable interface.
MkTabTreeNode(PageFile<MkTabTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mktab.MkTabTreeNode
Creates a MkTabTreeNode object.
MkTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees
Encapsulates the header information for subclasses of AbstractMkTree.
MkTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader
Empty constructor for serialization.
MkTreeHeader(int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.MkTreeHeader
Creates a nerw header with the specified parameters.
MLBDistSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split
Encapsulates the required methods for a split of a node in an M-Tree.
MLBDistSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MLBDistSplit
Creates a new split object.
model - Variable in class de.lmu.ifi.dbs.elki.data.cluster.Cluster
Cluster model.
Model - Interface in de.lmu.ifi.dbs.elki.data.model
Base interface for Model classes.
modelHeight - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
modelQuality - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
modelWidth - Variable in class de.lmu.ifi.dbs.elki.visualization.savedialog.SaveOptionsPanel
 
MODIFICATION_WARNING - Static variable in class de.lmu.ifi.dbs.elki.application.internal.DocumentParameters
 
moveAll(Deap<K, V>) - Method in class de.lmu.ifi.dbs.elki.utilities.heap.Deap
Moves all elements from this deap into the specified deap.
MRadSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split
Encapsulates the required methods for a split of a node in an M-Tree.
MRadSplit(N, DistanceFunction<O, D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MRadSplit
Creates a new split object.
msgformat - Variable in class de.lmu.ifi.dbs.elki.logging.CLISmartHandler
Formatter for regular messages (informational records)
MTree<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree
MTree is a metrical index structure based on the concepts of the M-Tree.
MTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTree
Provides a new M-Tree.
MTreeDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Represents an entry in a directory node of an M-Tree.
MTreeDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
Empty constructor for serialization purposes.
MTreeDirectoryEntry(Integer, D, Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeDirectoryEntry
Provides a new MTreeDirectoryEntry with the given parameters.
MTreeEntry<D extends Distance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Defines the requirements for an entry in an M-Tree node.
MTreeLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants
Represents an entry in a leaf node of an M-Tree.
MTreeLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
Empty constructor for serialization purposes.
MTreeLeafEntry(Integer, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeLeafEntry
Provides a new MTreeLeafEntry object with the given parameters.
MTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree
Represents a node in an M-Tree.
MTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
Empty constructor for Externalizable interface.
MTreeNode(PageFile<MTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mtree.MTreeNode
Creates a new MTreeNode with the specified parameters.
MTreeSplit<O extends DatabaseObject,D extends Distance<D>,N extends AbstractMTreeNode<O,D,N,E>,E extends MTreeEntry<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split
Abstract super class for splitting a node in an M-Tree.
MTreeSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.split.MTreeSplit
 
MU_ID - Static variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
OptionID for DiSH.MU_PARAM
MU_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.DiSH
Parameter that specifies the a minimum number of points as a smoothing factor to avoid the single-link-effect, must be an integer greater than 0.
MultiInstanceObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data
MultiInstanceObject represents a collection of several DatabaseObjects of an equal type.
MultiInstanceObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiInstanceObject
Provides a MultiInstanceObject comprising the specified members.
MultipleFileBasedDatabaseConnection<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.database.connection
Provides a database connection based on multiple files and parsers to be set.
MultipleFileBasedDatabaseConnection() - Constructor for class de.lmu.ifi.dbs.elki.database.connection.MultipleFileBasedDatabaseConnection
Provides a database connection expecting input from several files, adding parameters MultipleFileBasedDatabaseConnection.PARSERS_PARAM, and MultipleFileBasedDatabaseConnection.INPUT_PARAM to the option handler additionally to parameters of super class.
MultipleFilesOutput - Class in de.lmu.ifi.dbs.elki.result.textwriter
Manage output to multiple files.
MultipleFilesOutput(File) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
Constructor
MultipleFilesOutput(File, boolean) - Constructor for class de.lmu.ifi.dbs.elki.result.textwriter.MultipleFilesOutput
Constructor
MultipleLinearRegression - Class in de.lmu.ifi.dbs.elki.math.statistics
Multiple linear regression attempts to model the relationship between two or more explanatory variables and a response variable by fitting a linear equation to observed data.
MultipleLinearRegression(Vector, Matrix) - Constructor for class de.lmu.ifi.dbs.elki.math.statistics.MultipleLinearRegression
Provides a new multiple linear regression model with the specified parameters.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.BitVector
Returns a bit vector equal to this bit vector, if k is not 0, a bit vector with all components equal to zero otherwise.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.DoubleVector
 
multiplicate(double) - Method in interface de.lmu.ifi.dbs.elki.data.FeatureVector
Returns a new FeatureVector of V that is the result of a scalar multiplication with the given scalar.
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.FloatVector
 
multiplicate(double) - Method in class de.lmu.ifi.dbs.elki.data.SparseFloatVector
Provides a new SparseFloatVector as result of the multiplication of this SparseFloatVector by the scalar k.
multiplicativeInverse() - Method in class de.lmu.ifi.dbs.elki.data.RationalNumber
Returns the multiplicative inverse of this RationalNumber if it exists.
MultiRepresentedObject<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.data
MultiRepresentedObject represents a collection of several DatabaseObjects of a same superclass.
MultiRepresentedObject(List<O>) - Constructor for class de.lmu.ifi.dbs.elki.data.MultiRepresentedObject
Provides a MultiRepresentedObject comprising the specified representations.
MultiRepresentedObjectNormalization<O extends DatabaseObject> - Class in de.lmu.ifi.dbs.elki.normalization
Class to perform and undo a normalization on multi-represented objects with respect to given normalizations for each representation.
MultiRepresentedObjectNormalization() - Constructor for class de.lmu.ifi.dbs.elki.normalization.MultiRepresentedObjectNormalization
Sets normalization parameter to the optionhandler.
MultiResult - Class in de.lmu.ifi.dbs.elki.result
MultiResult is a result collection class.
MultiResult(ArrayList<Result>) - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult
Constructor
MultiResult() - Constructor for class de.lmu.ifi.dbs.elki.result.MultiResult
Constructor

Release 0.2 (2009-07-06_1820)
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