Uses of Class
org.apache.mahout.clustering.kmeans.KMeansInfo

Packages that use KMeansInfo
org.apache.mahout.clustering.kmeans This package provides an implementation of the k-means clustering algorithm. 
 

Uses of KMeansInfo in org.apache.mahout.clustering.kmeans
 

Method parameters in org.apache.mahout.clustering.kmeans with type arguments of type KMeansInfo
 void KMeansClusterer.emitPointToNearestCluster(Vector point, java.util.List<Cluster> clusters, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,KMeansInfo> output)
          Iterates over all clusters and identifies the one closes to the given point.
 void KMeansMapper.map(org.apache.hadoop.io.WritableComparable<?> key, VectorWritable point, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,KMeansInfo> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void KMeansReducer.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<KMeansInfo> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,Cluster> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void KMeansCombiner.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<KMeansInfo> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,KMeansInfo> output, org.apache.hadoop.mapred.Reporter reporter)
           
 void KMeansCombiner.reduce(org.apache.hadoop.io.Text key, java.util.Iterator<KMeansInfo> values, org.apache.hadoop.mapred.OutputCollector<org.apache.hadoop.io.Text,KMeansInfo> output, org.apache.hadoop.mapred.Reporter reporter)
           
 



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