Package com.rapidminer.tools.math.similarity.numerical

This package consists of similariy functions for numerical values only.

See:
Description

Class Summary

CamberraNumericalDistance	The Camberra distance measure.
ChebychevNumericalDistance	This measure returns the maximal individual absolute distance of both examples in any component.
CorrelationSimilarity	Similarity based on the correlation coefficient.
CosineSimilarity	Cosine similarity that supports feature weights.
DiceNumericalSimilarity	A variant of the Dice coefficient defined for numeric attributes.
DTWDistance	A distance measure based on "Dynamic Time Warping".
EuclideanDistance	The euclidean distance.
InnerProductSimilarity	Similarity based on the inner product.
JaccardNumericalSimilarity	A variant of the Jaccard coefficient defined for numeric attributes.
KernelEuclideanDistance	This class uses the approach of Schoelkopf (2001) The Kernel Trick for Distances.
ManhattanDistance	The Manhattan distance.
MaxProductSimilarity	Specialized similarity that takes the maximum product of two feature values.
OverlapNumericalSimilarity	A variant of simple matching for numerical attributes.

Package com.rapidminer.tools.math.similarity.numerical Description

This package consists of similariy functions for numerical values only.