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Uses of NumberDistance in de.lmu.ifi.dbs.elki.algorithm |
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Classes in de.lmu.ifi.dbs.elki.algorithm with type parameters of type NumberDistance | |
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class |
MaterializeDistances<V extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
Algorithm to materialize all the distances in a data set. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.algorithm.outlier |
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Classes in de.lmu.ifi.dbs.elki.algorithm.outlier with type parameters of type NumberDistance | |
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class |
LOCI<O extends DatabaseObject,D extends NumberDistance<D,?>>
Fast Outlier Detection Using the "Local Correlation Integral". |
class |
LOF<O extends DatabaseObject,D extends NumberDistance<D,?>>
Algorithm to compute density-based local outlier factors in a database based on a specified parameter LOF.K_ID (-lof.k ). |
Fields in de.lmu.ifi.dbs.elki.algorithm.outlier declared as NumberDistance | |
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private D |
LOCI.rmax
Holds the value of LOCI.RMAX_PARAM . |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.algorithm.statistics |
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Classes in de.lmu.ifi.dbs.elki.algorithm.statistics with type parameters of type NumberDistance | |
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class |
DistanceStatisticsWithClasses<V extends DatabaseObject,D extends NumberDistance<D,?>>
Algorithm to gather statistics over the distance distribution in the data set. |
class |
EvaluateRankingQuality<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
Evaluate a distance function with respect to kNN queries. |
class |
RankingQualityHistogram<V extends DatabaseObject,D extends NumberDistance<D,?>>
Evaluate a distance function with respect to kNN queries. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.application.cache |
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Classes in de.lmu.ifi.dbs.elki.application.cache with type parameters of type NumberDistance | |
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class |
CacheDoubleDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access. |
class |
CacheFloatDistanceInOnDiskMatrix<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
Wrapper to convert a traditional text-serialized result into a on-disk matrix for random access. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.application.visualization |
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Classes in de.lmu.ifi.dbs.elki.application.visualization with type parameters of type NumberDistance | |
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class |
KNNExplorer<O extends NumberVector<?,?>,D extends NumberDistance<D,N>,N extends Number>
User application to explore the k Nearest Neighbors for a given data set and distance function. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.distance |
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Classes in de.lmu.ifi.dbs.elki.distance with type parameters of type NumberDistance | |
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class |
NumberDistance<D extends NumberDistance<D,N>,N extends Number>
Provides a Distance for a number-valued distance. |
Subclasses of NumberDistance in de.lmu.ifi.dbs.elki.distance | |
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class |
BitDistance
Provides a Distance for a bit-valued distance. |
class |
DoubleDistance
Provides a Distance for a double-valued distance. |
class |
FloatDistance
Provides a Distance for a float-valued distance. |
class |
IntegerDistance
Provides an integer distance value. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp |
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Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkapp with type parameters of type NumberDistance | |
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(package private) class |
MkAppDirectoryEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a directory node of a MkApp-Tree. |
(package private) interface |
MkAppEntry<D extends NumberDistance<D,N>,N extends Number>
Defines the requirements for an entry in an MkCop-Tree node. |
(package private) class |
MkAppLeafEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a leaf node of a MkApp-Tree. |
class |
MkAppTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
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. |
(package private) class |
MkAppTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
Represents a node in an MkApp-Tree. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop |
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Classes in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type NumberDistance | |
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(package private) class |
MkCoPDirectoryEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a directory node of an MkCop-Tree. |
(package private) interface |
MkCoPEntry<D extends NumberDistance<D,N>,N extends Number>
Defines the requirements for an entry in an MkCop-Tree node. |
(package private) class |
MkCoPLeafEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a leaf node of a MkCoP-Tree. |
class |
MkCoPTree<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
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. |
(package private) class |
MkCoPTreeNode<O extends DatabaseObject,D extends NumberDistance<D,N>,N extends Number>
Represents a node in an MkCop-Tree. |
Methods in de.lmu.ifi.dbs.elki.index.tree.metrical.mtreevariants.mktrees.mkcop with type parameters of type NumberDistance | ||
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ApproximationLine.getApproximatedKnnDistance(int k,
DistanceFunction<O,D> distanceFunction)
Returns the approximated knn-distance at the specified k. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn |
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Classes in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn with type parameters of type NumberDistance | |
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class |
RdKNNDirectoryEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a directory node of an RdKNN-Tree. |
(package private) interface |
RdKNNEntry<D extends NumberDistance<D,N>,N extends Number>
Defines the requirements for an entry in an RdKNN-Tree node. |
class |
RdKNNLeafEntry<D extends NumberDistance<D,N>,N extends Number>
Represents an entry in a leaf node of an RdKNN-Tree. |
class |
RdKNNNode<D extends NumberDistance<D,N>,N extends Number>
Represents a node in a RDkNN-Tree. |
class |
RdKNNTree<O extends NumberVector<O,?>,D extends NumberDistance<D,N>,N extends Number>
RDkNNTree is a spatial index structure based on the concepts of the R*-Tree supporting efficient processing of reverse k nearest neighbor queries. |
Fields in de.lmu.ifi.dbs.elki.index.tree.spatial.rstarvariants.rdknn declared as NumberDistance | |
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private D |
RdKNNLeafEntry.knnDistance
The knn distance of the underlying data object. |
private D |
RdKNNDirectoryEntry.knnDistance
The aggregated knn distance of this entry. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
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Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca with type parameters of type NumberDistance | |
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class |
CovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
Abstract class with the task of computing a Covariance matrix to be used in PCA. |
class |
KernelCovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
Kernel Covariance Matrix Builder. |
class |
PCAFilteredRunner<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
PCA runner that will do dimensionality reduction. |
class |
PCARunner<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
Class to run PCA on given data. |
class |
StandardCovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
Class for building a "traditional" covariance matrix. |
class |
WeightedCovarianceMatrixBuilder<V extends NumberVector<V,?>,D extends NumberDistance<D,?>>
CovarianceMatrixBuilder with weights. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.parser |
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Classes in de.lmu.ifi.dbs.elki.parser with type parameters of type NumberDistance | |
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class |
NumberDistanceParser<D extends NumberDistance<D,N>,N extends Number>
Provides a parser for parsing one distance value per line. |
Uses of NumberDistance in de.lmu.ifi.dbs.elki.visualization.opticsplot |
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Method parameters in de.lmu.ifi.dbs.elki.visualization.opticsplot with type arguments of type NumberDistance | |
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double |
OPTICSNumberDistance.getDoubleForEntry(ClusterOrderEntry<NumberDistance<?,?>> coe)
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