Examples of FarthestNeighborClusterSimilarity

org.apache.mahout.cf.taste.impl.recommender.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.

Examples of org.apache.mahout.cf.taste.impl.recommender.FarthestNeighborClusterSimilarity

class ClusterBasedRecommender {


  Recommender buildRecommender(DataModel model) throws TasteException {
    UserSimilarity similarity = new LogLikelihoodSimilarity(model);
    ClusterSimilarity clusterSimilarity =
        new FarthestNeighborClusterSimilarity(similarity);
    return new TreeClusteringRecommender(model, clusterSimilarity, 10);
  }

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