Class Summary |
AbstractDistanceFunction<O extends DatabaseObject,D extends Distance<D>> |
AbstractDistanceFunction provides some methods valid for any extending class. |
AbstractLocallyWeightedDistanceFunction<O extends NumberVector<O,?>,P extends LocalPCAPreprocessor<O>> |
Abstract super class for locally weighted distance functions using a
preprocessor to compute the local weight matrix. |
AbstractPreprocessorBasedDistanceFunction<O extends DatabaseObject,P extends Preprocessor<O>,D extends Distance<D>> |
Abstract super class for distance functions needing a preprocessor. |
ArcCosineDistanceFunction<V extends NumberVector<V,?>> |
Cosine distance function for feature vectors. |
CosineDistanceFunction<V extends NumberVector<V,?>> |
Cosine distance function for feature vectors. |
EuclideanDistanceFunction<V extends NumberVector<V,?>> |
Provides the Euclidean distance for FeatureVectors. |
KernelBasedLocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> |
Provides a kernel based locally weighted distance function. |
LocallyWeightedDistanceFunction<V extends NumberVector<V,?>,P extends LocalPCAPreprocessor<V>> |
Provides a locally weighted distance function. |
LPNormDistanceFunction<V extends NumberVector<V,N>,N extends Number> |
Provides a LP-Norm for FeatureVectors. |
ManhattanDistanceFunction<V extends NumberVector<V,?>> |
Manhattan distance function to compute the Manhattan distance for a pair of
FeatureVectors. |
MaximumDistanceFunction<V extends NumberVector<V,?>> |
Maximum distance function to compute the Maximum distance for a pair of
FeatureVectors. |
MinimumDistanceFunction<V extends NumberVector<V,?>> |
Maximum distance function to compute the Minimum distance for a pair of
FeatureVectors. |
PCACorrelationDistance |
The correlation distance is a special Distance that indicates the
dissimilarity between correlation connected objects. |
WeightedDistanceFunction<V extends NumberVector<V,?>> |
Provides the Weighted distance for feature vectors. |
Distance functions for use within ELKI.