## Uses of Class
org.apache.mahout.math.hadoop.similarity.Cooccurrence

Packages that use Cooccurrence
org.apache.mahout.math.hadoop.similarity
org.apache.mahout.math.hadoop.similarity.vector

Uses of Cooccurrence in org.apache.mahout.math.hadoop.similarity

Method parameters in org.apache.mahout.math.hadoop.similarity with type arguments of type Cooccurrence
`protected void` `RowSimilarityJob.SimilarityReducer.reduce(WeightedRowPair rowPair, java.lang.Iterable<Cooccurrence> cooccurrences, org.apache.hadoop.mapreduce.Reducer.Context ctx)`

Uses of Cooccurrence in org.apache.mahout.math.hadoop.similarity.vector

Method parameters in org.apache.mahout.math.hadoop.similarity.vector with type arguments of type Cooccurrence
`protected double` `DistributedUncenteredZeroAssumingCosineVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected double` `DistributedUncenteredCosineVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected double` `DistributedTanimotoCoefficientVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected double` `DistributedPearsonCorrelationVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected double` `DistributedLoglikelihoodVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected double` `DistributedEuclideanDistanceVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`protected abstract double` `AbstractDistributedVectorSimilarity.doComputeResult(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)` do the actual similarity computation
`double` `DistributedVectorSimilarity.similarity(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)` compute the similarity of a pair of row vectors
`double` `DistributedCooccurrenceVectorSimilarity.similarity(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)`
`double` `AbstractDistributedVectorSimilarity.similarity(int rowA, int rowB, java.lang.Iterable<Cooccurrence> cooccurrences, double weightOfVectorA, double weightOfVectorB, int numberOfColumns)` ensures that the computed similarity is in [-1,1]

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