Uses of Class
edu.ucla.sspace.similarity.AbstractSymmetricSimilarityFunction

Packages that use AbstractSymmetricSimilarityFunction

Package	Description
edu.ucla.sspace.similarity

Uses of AbstractSymmetricSimilarityFunction in edu.ucla.sspace.similarity

Subclasses of AbstractSymmetricSimilarityFunction in edu.ucla.sspace.similarity

Modifier and Type	Class and Description
class	AverageCommonFeatureRank Computes the Average Common Feature Rank between two feature vectors.
class	CosineSimilarity Returns the cosine similarity between any two Vectors.
class	DotProduct Returns the dot product of the two vectors.
class	EuclideanSimilarity Returns the Euclidean Similarity between any two Vectors.
class	GaussianKernel Returns the Gaussing kernel weighting of two vectors using a parameter to weight the distance between the two vectors.
class	JaccardIndex Returns the Jaccard Index between any two Vectors.
class	KendallsTau A functional class for computing Kendall's tau of the values in the two vectors.
class	LinSimilarity Returns the Lin Similarity between any two Vectors.
class	OneSimilarity Returns 1, always.
class	PearsonCorrelation Returns the Pearson Correlation between any two Vectors.
class	PolynomialKernel Returns the dot product of the two vectors raised to a specified power.
class	SpearmanRankCorrelation Returns the Spearman Rank Correlation between any two Vectors.
class	TanimotoCoefficient Returns the Tanimoto Coefficient between any two Vectors.