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Packages that use ClusterSimilarity | |
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org.apache.mahout.cf.taste.impl.recommender |
Uses of ClusterSimilarity in org.apache.mahout.cf.taste.impl.recommender |
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Classes in org.apache.mahout.cf.taste.impl.recommender that implement ClusterSimilarity | |
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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 | |
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TreeClusteringRecommender(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
double clusteringThreshold)
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TreeClusteringRecommender(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
double clusteringThreshold,
double samplingRate)
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TreeClusteringRecommender(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
int numClusters)
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TreeClusteringRecommender(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
int numClusters,
double samplingRate)
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TreeClusteringRecommender2(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
double clusteringThreshold)
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TreeClusteringRecommender2(DataModel dataModel,
ClusterSimilarity clusterSimilarity,
int numClusters)
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