See: Description
| Interface | Description |
|---|---|
| DimensionSelectingSubspaceDistanceFunction<O,D extends Distance<D>> |
Interface for dimension selecting subspace distance functions.
|
| 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.
|
| 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.
|
| 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.
|
| LocalSubspaceDistanceFunction.Instance<V extends NumberVector<?>> |
The actual instance bound to a particular database.
|
| LocalSubspaceDistanceFunction.Parameterizer |
Parameterization class.
|
| SubspaceEuclideanDistanceFunction |
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
|
| SubspaceEuclideanDistanceFunction.Parameterizer |
Parameterization class.
|
| SubspaceLPNormDistanceFunction |
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
|
| SubspaceLPNormDistanceFunction.Parameterizer |
Parameterization class.
|
| SubspaceManhattanDistanceFunction |
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
|
| SubspaceManhattanDistanceFunction.Parameterizer |
Parameterization class.
|
| SubspaceMaximumDistanceFunction |
Provides a distance function that computes the Euclidean distance between
feature vectors only in specified dimensions.
|
| SubspaceMaximumDistanceFunction.Parameterizer |
Parameterization class.
|
Distance functions based on subspaces.