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Interface Summary | |
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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 | |
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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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