See: Description
| Class | Description |
|---|---|
| AbstractDimensionsSelectingDoubleDistanceFunction<V extends FeatureVector<?,?>> |
Provides a distance function that computes the distance (which is a double
distance) between feature vectors only in specified dimensions.
|
| AbstractDimensionsSelectingDoubleDistanceFunction.Parameterizer |
Parameterization class.
|
| AbstractPreferenceVectorBasedCorrelationDistanceFunction<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>> |
Abstract super class for all preference vector based correlation distance
functions.
|
| AbstractPreferenceVectorBasedCorrelationDistanceFunction.Instance<V extends NumberVector<?,?>,P extends PreferenceVectorIndex<V>> |
Instance to compute the distances on an actual database.
|
| AbstractPreferenceVectorBasedCorrelationDistanceFunction.Parameterizer<F extends IndexFactory<?,?>> |
Parameterization class.
|
| DimensionSelectingDistanceFunction |
Provides a distance function that computes the distance between feature
vectors as the absolute difference of their values in a specified dimension.
|
| DimensionSelectingDistanceFunction.Parameterizer |
Parameterization class.
|
| DimensionsSelectingEuclideanDistanceFunction |
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
|
| DimensionsSelectingEuclideanDistanceFunction.Parameterizer |
Parameterization class.
|
| DiSHDistanceFunction |
Distance function used in the DiSH algorithm.
|
| DiSHDistanceFunction.Instance<V extends NumberVector<?,?>> |
The actual instance bound to a particular database.
|
| DiSHDistanceFunction.Parameterizer |
Parameterization class.
|
| HiSCDistanceFunction<V extends NumberVector<?,?>> |
Distance function used in the HiSC algorithm.
|
| HiSCDistanceFunction.Instance<V extends NumberVector<?,?>> |
The actual instance bound to a particular database.
|
| HiSCDistanceFunction.Parameterizer<V extends NumberVector<?,?>> |
Parameterization class.
|
| SubspaceDistanceFunction |
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.
|
| SubspaceDistanceFunction.Instance<V extends NumberVector<?,?>> |
The actual instance bound to a particular database.
|
| SubspaceDistanceFunction.Parameterizer |
Parameterization class.
|
Distance functions based on subspaces.