## Package org.apache.mahout.math.hadoop.similarity.vector

Interface Summary
DistributedVectorSimilarity: a measure for the pairwise similarity of two rows of a matrix that is suitable for computing that similarity in a distributed way works in 2 steps: - at first weight() is called for each of the row vectors - later similarity is called with the previously computed weights as parameters

Class Summary
AbstractDistributedVectorSimilarity: abstract base implementation of `DistributedVectorSimilarity`
DistributedCooccurrenceVectorSimilarity: uses the co-occcurence count as vector similarity
DistributedEuclideanDistanceVectorSimilarity: distributed implementation of euclidean distance as vector similarity measure
DistributedLoglikelihoodVectorSimilarity: distributed implementation of loglikelihood as vector similarity measure
DistributedPearsonCorrelationVectorSimilarity: distributed implementation of the pearson correlation
DistributedTanimotoCoefficientVectorSimilarity: distributed implementation of the tanimoto coefficient
DistributedUncenteredCosineVectorSimilarity: distributed implementation of cosine similarity that does not center its data
DistributedUncenteredZeroAssumingCosineVectorSimilarity: distributed implementation of the cosine similarity of two vectors

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