Package | Description |
---|---|
de.lmu.ifi.dbs.elki.distance.distancefunction |
Distance functions for use within ELKI.
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de.lmu.ifi.dbs.elki.distance.distancefunction.correlation |
Distance functions using correlations.
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de.lmu.ifi.dbs.elki.distance.distancefunction.subspace |
Distance functions based on subspaces.
|
Modifier and Type | Class and Description |
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class |
LocallyWeightedDistanceFunction<V extends NumberVector<?>>
Provides a locally weighted distance function.
|
class |
SharedNearestNeighborJaccardDistanceFunction<O>
SharedNearestNeighborJaccardDistanceFunction computes the Jaccard
coefficient, which is a proper distance metric.
|
Modifier and Type | Class and Description |
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class |
ERiCDistanceFunction
Provides a distance function for building the hierarchy in the ERiC
algorithm.
|
class |
PCABasedCorrelationDistanceFunction
Provides the correlation distance for real valued vectors.
|
Modifier and Type | Class and Description |
---|---|
class |
AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<?>,P extends PreferenceVectorIndex<V>>
Abstract super class for all preference vector based correlation distance
functions.
|
class |
DiSHDistanceFunction
Distance function used in the DiSH algorithm.
|
class |
HiSCDistanceFunction<V extends NumberVector<?>>
Distance function used in the HiSC algorithm.
|
class |
LocalSubspaceDistanceFunction
Provides a distance function to determine a kind of correlation distance
between two points, which is a pair consisting of the distance between the
two subspaces spanned by the strong eigenvectors of the two points and the
affine distance between the two subspaces.
|