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* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
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package org.apache.mahout.clustering.kmeans;
import java.io.IOException;
import java.util.Collection;
import java.util.Map;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.mahout.clustering.ClusterObservations;
import org.apache.mahout.common.ClassUtils;
import org.apache.mahout.common.distance.DistanceMeasure;
public class KMeansReducer extends Reducer<Text, ClusterObservations, Text, Cluster> {
private Map<String, Cluster> clusterMap;
private double convergenceDelta;
private KMeansClusterer clusterer;
@Override
protected void reduce(Text key, Iterable<ClusterObservations> values, Context context)
throws IOException, InterruptedException {
Cluster cluster = clusterMap.get(key.toString());
for (ClusterObservations delta : values) {
cluster.observe(delta);
}
// force convergence calculation
boolean converged = clusterer.computeConvergence(cluster, convergenceDelta);
if (converged) {
context.getCounter("Clustering", "Converged Clusters").increment(1);
}
cluster.computeParameters();
context.write(new Text(cluster.getIdentifier()), cluster);
}
@Override
protected void setup(Context context) throws IOException, InterruptedException {
super.setup(context);
Configuration conf = context.getConfiguration();
DistanceMeasure measure =
ClassUtils.instantiateAs(conf.get(KMeansConfigKeys.DISTANCE_MEASURE_KEY), DistanceMeasure.class);
measure.configure(conf);
this.convergenceDelta = Double.parseDouble(conf.get(KMeansConfigKeys.CLUSTER_CONVERGENCE_KEY));
this.clusterer = new KMeansClusterer(measure);
this.clusterMap = Maps.newHashMap();
String path = conf.get(KMeansConfigKeys.CLUSTER_PATH_KEY);
if (!path.isEmpty()) {
Collection<Cluster> clusters = Lists.newArrayList();
KMeansUtil.configureWithClusterInfo(conf, new Path(path), clusters);
setClusterMap(clusters);
if (clusterMap.isEmpty()) {
throw new IllegalStateException("Cluster is empty!");
}
}
}
private void setClusterMap(Collection<Cluster> clusters) {
clusterMap = Maps.newHashMap();
for (Cluster cluster : clusters) {
clusterMap.put(cluster.getIdentifier(), cluster);
}
clusters.clear();
}
public void setup(Collection<Cluster> clusters, DistanceMeasure measure) {
setClusterMap(clusters);
this.clusterer = new KMeansClusterer(measure);
}
}