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
 



Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.