Java org.apache.mahout.clustering ClusteringUtils fields, constructors, methods, implement or subclass

Example usage for Java org.apache.mahout.clustering ClusteringUtils fields, constructors, methods, implement or subclass

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Introduction

In this page you can find the methods, fields and constructors for org.apache.mahout.clustering ClusteringUtils.

The text is from its open source code.

Method

doubledaviesBouldinIndex(List centroids, DistanceMeasure distanceMeasure, List clusterDistanceSummaries)
Computes the Davies-Bouldin Index for a given clustering.
doubledunnIndex(List centroids, DistanceMeasure distanceMeasure, List clusterDistanceSummaries)
Computes the Dunn Index of a given clustering.
ListsummarizeClusterDistances(Iterable datapoints, Iterable centroids, DistanceMeasure distanceMeasure)
Computes the summaries for the distances in each cluster.
doubletotalClusterCost(Iterable datapoints, Iterable centroids)
Adds up the distances from each point to its closest cluster and returns the sum.
doubletotalClusterCost(Iterable datapoints, Searcher centroids)
Adds up the distances from each point to its closest cluster and returns the sum.