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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