See: Description
| Class | Description |
|---|---|
| EuclideanDistanceFunction |
Provides the Euclidean distance for FeatureVectors.
|
| EuclideanDistanceFunction.Parameterizer |
Parameterization class.
|
| LPNormDistanceFunction |
Provides a LP-Norm for FeatureVectors.
|
| LPNormDistanceFunction.Parameterizer |
Parameterization class.
|
| ManhattanDistanceFunction |
Manhattan distance function to compute the Manhattan distance for a pair of
FeatureVectors.
|
| ManhattanDistanceFunction.Parameterizer |
Parameterization class.
|
| MaximumDistanceFunction |
Maximum distance function to compute the Maximum distance for a pair of
FeatureVectors.
|
| MaximumDistanceFunction.Parameterizer |
Parameterization class.
|
| MinimumDistanceFunction |
Maximum distance function to compute the Minimum distance for a pair of
FeatureVectors.
|
| MinimumDistanceFunction.Parameterizer |
Parameterization class.
|
| SparseEuclideanDistanceFunction |
Euclidean distance function.
|
| SparseEuclideanDistanceFunction.Parameterizer |
Parameterizer
|
| SparseLPNormDistanceFunction |
Provides a LP-Norm for FeatureVectors.
|
| SparseLPNormDistanceFunction.Parameterizer |
Parameterizer
|
| SparseManhattanDistanceFunction |
Manhattan distance function.
|
| SparseManhattanDistanceFunction.Parameterizer |
Parameterizer
|
| SparseMaximumDistanceFunction |
Maximum distance function.
|
| SparseMaximumDistanceFunction.Parameterizer |
Parameterizer
|
| SquaredEuclideanDistanceFunction |
Provides the squared Euclidean distance for FeatureVectors.
|
| SquaredEuclideanDistanceFunction.Parameterizer |
Parameterization class.
|
| WeightedLPNormDistanceFunction |
Weighted version of the Euclidean distance function.
|
| WeightedSquaredEuclideanDistanceFunction |
Provides the squared Euclidean distance for FeatureVectors.
|
Minkowski space L_p norms such as the popular Euclidean and Manhattan distances.