## Uses of Interface
org.apache.mahout.cf.taste.impl.recommender.ClusterSimilarity

Packages that use ClusterSimilarity
org.apache.mahout.cf.taste.impl.recommender

Uses of ClusterSimilarity in org.apache.mahout.cf.taste.impl.recommender

Classes in org.apache.mahout.cf.taste.impl.recommender that implement ClusterSimilarity
`class` `FarthestNeighborClusterSimilarity` Defines cluster similarity as the smallest similarity between any two users in the clusters -- that is, it says that clusters are close when all pairs of their members have relatively high similarity.
`class` `NearestNeighborClusterSimilarity` Defines cluster similarity as the largest similarity between any two users in the clusters -- that is, it says that clusters are close when some pair of their members has high similarity.

Constructors in org.apache.mahout.cf.taste.impl.recommender with parameters of type ClusterSimilarity
`TreeClusteringRecommender(DataModel dataModel, ClusterSimilarity clusterSimilarity, double clusteringThreshold)`
`TreeClusteringRecommender(DataModel dataModel, ClusterSimilarity clusterSimilarity, double clusteringThreshold, double samplingRate)`
`TreeClusteringRecommender(DataModel dataModel, ClusterSimilarity clusterSimilarity, int numClusters)`
`TreeClusteringRecommender(DataModel dataModel, ClusterSimilarity clusterSimilarity, int numClusters, double samplingRate)`
`TreeClusteringRecommender2(DataModel dataModel, ClusterSimilarity clusterSimilarity, double clusteringThreshold)`
`TreeClusteringRecommender2(DataModel dataModel, ClusterSimilarity clusterSimilarity, int numClusters)`

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