Package edu.ucla.sspace.similarity

Interface Summary

Interface	Description
SimilarityFunction	An Interface for any similarity metric between two Vectors.

Class Summary

Class	Description
AbstractSymmetricSimilarityFunction	A base implementation for any symmetic SimilarityFunction that requires no parameters.
AverageCommonFeatureRank	Computes the Average Common Feature Rank between two feature vectors.
CosineSimilarity	Returns the cosine similarity between any two Vectors.
DotProduct	Returns the dot product of the two vectors.
EuclideanSimilarity	Returns the Euclidean Similarity between any two Vectors.
GaussianKernel	Returns the Gaussing kernel weighting of two vectors using a parameter to weight the distance between the two vectors.
JaccardIndex	Returns the Jaccard Index between any two Vectors.
KendallsTau	A functional class for computing Kendall's tau of the values in the two vectors.
KLDivergence	Returns the KL Divergence between any two probability distributions represented as Vectors.
LinSimilarity	Returns the Lin Similarity between any two Vectors.
OneSimilarity	Returns 1, always.
PearsonCorrelation	Returns the Pearson Correlation between any two Vectors.
PolynomialKernel	Returns the dot product of the two vectors raised to a specified power.
SpearmanRankCorrelation	Returns the Spearman Rank Correlation between any two Vectors.
TanimotoCoefficient	Returns the Tanimoto Coefficient between any two Vectors.