/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file 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
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.mahout.utils.clustering;
import org.apache.hadoop.io.Text;
import org.apache.mahout.clustering.AbstractCluster;
import org.apache.mahout.clustering.Cluster;
import org.apache.mahout.clustering.classify.WeightedPropertyVectorWritable;
import org.apache.mahout.clustering.iterator.ClusterWritable;
import org.apache.mahout.common.distance.DistanceMeasure;
import java.io.IOException;
import java.io.Writer;
import java.util.Iterator;
import java.util.List;
import java.util.Map;
/**
* Implements a {@link ClusterWriter} that outputs in the format used by ClusterDumper in Mahout 0.5
*/
public class ClusterDumperWriter extends AbstractClusterWriter {
private final int subString;
private final String[] dictionary;
private final int numTopFeatures;
public ClusterDumperWriter(Writer writer, Map<Integer,List<WeightedPropertyVectorWritable>> clusterIdToPoints,
DistanceMeasure measure, int numTopFeatures, String[] dictionary, int subString) {
super(writer, clusterIdToPoints, measure);
this.numTopFeatures = numTopFeatures;
this.dictionary = dictionary;
this.subString = subString;
}
@Override
public void write(ClusterWritable clusterWritable) throws IOException {
Cluster cluster = clusterWritable.getValue();
String fmtStr = cluster.asFormatString(dictionary);
Writer writer = getWriter();
if (subString > 0 && fmtStr.length() > subString) {
writer.write(':');
writer.write(fmtStr, 0, Math.min(subString, fmtStr.length()));
} else {
writer.write(fmtStr);
}
writer.write('\n');
if (dictionary != null) {
String topTerms = getTopFeatures(clusterWritable.getValue().getCenter(), dictionary, numTopFeatures);
writer.write("\tTop Terms: ");
writer.write(topTerms);
writer.write('\n');
}
Map<Integer,List<WeightedPropertyVectorWritable>> clusterIdToPoints = getClusterIdToPoints();
List<WeightedPropertyVectorWritable> points = clusterIdToPoints.get(clusterWritable.getValue().getId());
if (points != null) {
writer.write("\tWeight : [props - optional]: Point:\n\t");
for (Iterator<WeightedPropertyVectorWritable> iterator = points.iterator(); iterator.hasNext();) {
WeightedPropertyVectorWritable point = iterator.next();
writer.write(String.valueOf(point.getWeight()));
Map<Text,Text> map = point.getProperties();
// map can be null since empty maps when written are returned as null
writer.write(" : [");
if (map != null) {
for (Map.Entry<Text,Text> entry : map.entrySet()) {
writer.write(entry.getKey().toString());
writer.write("=");
writer.write(entry.getValue().toString());
}
}
writer.write("]");
writer.write(": ");
writer.write(AbstractCluster.formatVector(point.getVector(), dictionary));
if (iterator.hasNext()) {
writer.write("\n\t");
}
}
writer.write('\n');
}
}
}