Uses of Class
org.apache.mahout.clustering.fuzzykmeans.SoftCluster

Packages that use SoftCluster
org.apache.mahout.clustering.fuzzykmeans   
 

Uses of SoftCluster in org.apache.mahout.clustering.fuzzykmeans
 

Methods in org.apache.mahout.clustering.fuzzykmeans that return SoftCluster
static SoftCluster SoftCluster.decodeCluster(java.lang.String formattedString)
          Decodes and returns a SoftCluster from the formattedString
 SoftCluster[] FuzzyKMeansOutput.getClusters()
           
 

Methods in org.apache.mahout.clustering.fuzzykmeans that return types with arguments of type SoftCluster
static java.util.List<java.util.List<SoftCluster>> FuzzyKMeansClusterer.clusterPoints(java.util.List<Vector> points, java.util.List<SoftCluster> clusters, DistanceMeasure measure, double threshold, double m, int numIter)
          This is the reference k-means implementation.
 

Methods in org.apache.mahout.clustering.fuzzykmeans with parameters of type SoftCluster
 void FuzzyKMeansOutput.add(int i, SoftCluster softCluster, double probWeight)
           
 boolean FuzzyKMeansClusterer.computeConvergence(SoftCluster cluster)
          Return if the cluster is converged by comparing its center and centroid.
static java.lang.String SoftCluster.formatCluster(SoftCluster cluster)
          Format the SoftCluster for output
 

Method parameters in org.apache.mahout.clustering.fuzzykmeans with type arguments of type SoftCluster
static java.util.List<java.util.List<SoftCluster>> FuzzyKMeansClusterer.clusterPoints(java.util.List<Vector> points, java.util.List<SoftCluster> clusters, DistanceMeasure measure, double threshold, double m, int numIter)
          This is the reference k-means implementation.
 void FuzzyKMeansReducer.config(java.util.List<SoftCluster> clusters)
           
 void FuzzyKMeansClusterer.emitPointProbToCluster(Vector point, java.util.List<SoftCluster> clusters, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,FuzzyKMeansInfo> output)
          Emit the point and its probability of belongingness to each cluster
 void FuzzyKMeansClusterer.outputPointWithClusterProbabilities(java.lang.String key, Vector point, java.util.List<SoftCluster> clusters, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,FuzzyKMeansOutput> output)
          Output point with cluster info (Cluster and probability)
 void FuzzyKMeansReducer.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<FuzzyKMeansInfo> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,SoftCluster> output, org.apache.hadoop.mapred.Reporter reporter)
           
static boolean FuzzyKMeansClusterer.runFuzzyKMeansIteration(java.util.List<Vector> points, java.util.List<SoftCluster> clusterList, FuzzyKMeansClusterer clusterer)
          Perform a single iteration over the points and clusters, assigning points to clusters and returning if the iterations are completed.
 



Copyright © 2008-2010 The Apache Software Foundation. All Rights Reserved.