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.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.varianceanalysis.LocalPCA

The dissimilarity matrix.

m_hat - Variable in class de.lmu.ifi.dbs.elki.varianceanalysis.LocalPCA

The similarity matrix.

m_i - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Holds m_i.

M_I_PARAM - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.PROCLUS

Parameter to specify the the multiplier for the initial number of medoids, must be an integer greater than 0.

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.

ManhattanDistanceFunction<T extends NumberVector<T,?>> - 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.

markAsAssigned() - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.subspace.clique.CLIQUEUnit

Marks this unit as assigned to a cluster.

MaskingOutputStream - Class in de.lmu.ifi.dbs.elki.logging

An OutputStream to mask the underlying OutputStream.

MaskingOutputStream(OutputStream) - Constructor for class de.lmu.ifi.dbs.elki.logging.MaskingOutputStream

Keeps the given OutputStream as underlying OutputStream, passing calls to the underlying OutputStream, but preventing it from being closed.

matches(String) - Method in class de.lmu.ifi.dbs.elki.distance.AbstractMeasurementFunction

Returns true if the given pattern matches the pattern defined, false otherwise.

Mathutil - Class in de.lmu.ifi.dbs.elki.math

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

MatrixPosition - Class in de.lmu.ifi.dbs.elki.math.linearalgebra

class for matrix positions

MatrixPosition(int, int) - Constructor for class de.lmu.ifi.dbs.elki.math.linearalgebra.MatrixPosition

Constructor

max(List<D>, List<D>) - Method in class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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(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.utilities.Interval

The maximum (right) value of this interval.

max(D, D) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the maximum of the given Distances or the first, if none is greater than the other one.

max_degree - Variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Degree of the polynomial kernel function

MAX_DEGREE_D - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Description for parameter max_degree.

MAX_DEGREE_P - Static variable in class de.lmu.ifi.dbs.elki.distance.similarityfunction.kernel.FooKernelFunction

Parameter for max_degree.

maxCacheSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.PersistentHeap

The maximum number of deaps in th 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.AttributeWiseRealVectorNormalization

Stores the maximum in each dimension.

MAXIMA_D - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Description for parameter minima.

MAXIMA_P - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Parameter for maxima.

maximalExtensionPartition(List<SpatialObject>, 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

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

The maximum level for splitting the hypercube.

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.

maxReachability - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.ClusterOrder

The maximum reachability in this cluster order.

maxSize - Variable in class de.lmu.ifi.dbs.elki.utilities.heap.Deap

The maximum size of this deap.

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 minmum 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.algorithm.result.clustering.EMModel

meanOfBicluster(BitSet, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Provides the mean of all entries in the submatrix as specified by a set of columns and a set of rows.

meanOfCol(BitSet, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Provides the mean value for a column on a set of rows.

meanOfRow(int, BitSet) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.biclustering.AbstractBiclustering

Provides the mean value for a row on a set of columns.

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.

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>.Cluster>, int, int) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.correlation.ORCLUS

Reduces the number of seeds to k_new

message(String) - Method in class de.lmu.ifi.dbs.elki.logging.AbstractLoggable

Log a message with Level MESSAGE.

message(String) - Method in interface de.lmu.ifi.dbs.elki.logging.Loggable

Log a MESSAGE.

MESSAGE - Static variable in class de.lmu.ifi.dbs.elki.logging.LogLevel

MESSAGE is a message level describing This level is initialized to 1597.

MessageFilter - Class in de.lmu.ifi.dbs.elki.logging

A filter for message logs - suitable for handling messages.

MessageFilter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFilter

Provides a filter for message logs.

MessageFormatter - Class in de.lmu.ifi.dbs.elki.logging

A formatter to simply retrieve the message of an LogRecord.

MessageFormatter() - Constructor for class de.lmu.ifi.dbs.elki.logging.MessageFormatter

Provides a message formatter to simply retrieve the message of an LogRecord.

MetricalEntry - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical

Defines the requirements for an entry 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

MetricalNode<N extends MetricalNode<N,E>,E extends MetricalEntry> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical

Defines the requirements for an object that can be used as a node in a Metrical Index.

min(SLINK<O, D>.SLinkDistance, SLINK<O, D>.SLinkDistance) - Method in class de.lmu.ifi.dbs.elki.algorithm.clustering.SLINK

Returns the minimum distance of the two given distances.

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.utilities.Interval

The minimum (left) value of this interval.

min(D, D) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

Returns the minimum of the given Distances or the first, if none is less than the other one.

min_max(Database<RealVector<?, ?>>) - Static method in class de.lmu.ifi.dbs.elki.utilities.Util

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

The minmum dimensionality for the subspaces to be found.

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, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector object according to this distance function.

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionSelectingDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.

minDist(HyperBoundingBox, V) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction

Computes the minimum distance between the given MBR and the RealVector object according to this distance function.

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.DimensionsSelectingEuklideanDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.

minDist(HyperBoundingBox, T) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction

Computes the minimum distance between the given MBR and the RealVector object according to this distance function.

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.EuklideanDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.

minDist(HyperBoundingBox, O) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

Computes the minimum distance between the given MBR and the RealVector object according to this distance function.

minDist(HyperBoundingBox, Integer) - Method in class de.lmu.ifi.dbs.elki.distance.distancefunction.LocallyWeightedDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector object with the given id according to this distance function.

minDist(HyperBoundingBox, O) - Method in interface de.lmu.ifi.dbs.elki.index.tree.spatial.SpatialDistanceFunction

Computes the minimum distance between the given MBR and the NumberVector 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 NumberVector 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.AttributeWiseRealVectorNormalization

Stores the minimum in each dimension.

MINIMA_D - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Description for parameter minima.

MINIMA_P - Static variable in class de.lmu.ifi.dbs.elki.normalization.AttributeWiseRealVectorNormalization

Parameter for minima.

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 initialises a new min-max-heap.

minNode() - Method in class de.lmu.ifi.dbs.elki.utilities.heap.MinMaxHeap

Retrieves, but does not remove, the minmum 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

Minimum points in a cluster.

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 the minpts parameter.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.ProjectedDBSCAN

Minimum points.

minpts - Variable in class de.lmu.ifi.dbs.elki.algorithm.clustering.SNNClustering

Holds the minimum points value.

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_D - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Description for parameter minimum points.

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.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_P - Static variable in class de.lmu.ifi.dbs.elki.preprocessing.DiSHPreprocessor

Parameter minimum points.

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.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(D) - 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

MkAppDirectoryEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.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.mkapp.MkAppDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkAppEntry<D extends NumberDistance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp

Defines the requirements for an entry in an MkCop-Tree node.

MkAppLeafEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkapp.MkAppLeafEntry

Empty constructor for serialization purposes.

MkAppLeafEntry(Integer, D, PolynomialApproximation) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppLeafEntry

Provides a new MkAppLeafEntry with the given parameters.

MkAppTree<O extends DatabaseObject,D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkapp.MkAppTree

Creates a new MkCopTree.

MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp

Represents a node in an MkApp-Tree.

MkAppTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTreeNode

Empty constructor for Externalizable interface.

MkAppTreeNode(PageFile<MkAppTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkapp.MkAppTreeNode

Creates a MkAppTreeNode object.

MkCoPDirectoryEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.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.mkcop.MkCoPDirectoryEntry

Provides a new MkCoPDirectoryEntry with the given parameters.

MkCoPEntry<D extends NumberDistance<D>> - Interface in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop

Defines the requirements for an entry in an MkCop-Tree node.

MkCoPLeafEntry<D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkcop.MkCoPLeafEntry

Empty constructor for serialization purposes.

MkCoPLeafEntry(Integer, D, ApproximationLine, ApproximationLine) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPLeafEntry

Provides a new MkCoPLeafEntry with the given parameters.

MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkcop.MkCoPTree

Creates a new MkCopTree.

MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop

Represents a node in an MkCop-Tree.

MkCoPTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

Empty constructor for Externalizable interface.

MkCoPTreeNode(PageFile<MkCoPTreeNode<O, D>>, int, boolean) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkcop.MkCoPTreeNode

Creates a MkCoPTreeNode object.

MkMaxDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax

Represents an entry in a directory node of an MkMax-Tree.

MkMaxDirectoryEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.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.mkmax

Defines the requirements for an entry in an MkMax-Tree node.

MkMaxLeafEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax

Represents an entry in a leaf node of a MkMax-Tree.

MkMaxLeafEntry() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxLeafEntry

Empty constructor for serialization purposes.

MkMaxLeafEntry(Integer, D, D) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkmax

MkNNTree is a metrical index structure based on the concepts of the M-Tree supporting efficient processing of reverse k nearest neighbor queries.

MkMaxTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTree

Creates a new MkMaxTree.

MkMaxTreeHeader - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax

Encapsulates the header information of a MkNN-Tree.

MkMaxTreeHeader() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeHeader

Empty constructor for serialization.

MkMaxTreeHeader(int, int, int, int) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax.MkMaxTreeHeader

Creates a nerw header with the specified parameters.

MkMaxTreeNode<O extends DatabaseObject,D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mkmax

Represents a node in a MkMax-Tree.

MkMaxTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mkmax.MkMaxTreeNode

Creates a new MkMaxTreeNode object.

MkTabDirectoryEntry<D extends Distance<D>> - Class in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.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.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.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.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.mktab.MkTabLeafEntry

Empty constructor for serialization purposes.

MkTabLeafEntry(Integer, D, List<D>) - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mktab

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 < kmax.

MkTabTree() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mktab

Represents a node in a MkMax-Tree.

MkTabTreeNode() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.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.mktab.MkTabTreeNode

Creates a MkTabTreeNode object.

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

Encapsulates the required parameters 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.MLBDistSplit

Creates a new split object.

model - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

The underlying bicluster model.

model() - Method in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.biclustering.Bicluster

Returns the model associated with this bicluster.

model - Variable in class de.lmu.ifi.dbs.elki.algorithm.result.clustering.Cluster

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

Encapsulates the required parameters 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.MRadSplit

Creates a new split object.

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

Encapsulates the required parameters for a split of a node in a M-Tree.

MTreeSplit() - Constructor for class de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.MTreeSplit

Creates a new split object.

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.

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 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.SparseDoubleVector

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.