org.apache.mahout.utils.clustering.CSVClusterWriter Maven / Gradle / Ivy
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Optional components of Mahout which generally support interaction with third party systems,
formats, APIs, etc.
/**
* 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.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 org.apache.mahout.math.NamedVector;
import org.apache.mahout.math.Vector;
import java.io.IOException;
import java.io.Writer;
import java.util.List;
import java.util.Map;
import java.util.regex.Pattern;
/**
* Format is adjacency style as put forth at http://gephi.org/users/supported-graph-formats/csv-format/, the centroid
* is the first element and all the rest of the row are the points in that cluster
*
**/
public class CSVClusterWriter extends AbstractClusterWriter {
private static final Pattern VEC_PATTERN = Pattern.compile("\\{|\\:|\\,|\\}");
public CSVClusterWriter(Writer writer, Map> clusterIdToPoints,
DistanceMeasure measure) {
super(writer, clusterIdToPoints, measure);
}
@Override
public void write(ClusterWritable clusterWritable) throws IOException {
StringBuilder line = new StringBuilder();
Cluster cluster = clusterWritable.getValue();
line.append(cluster.getId());
List points = getClusterIdToPoints().get(cluster.getId());
if (points != null) {
for (WeightedPropertyVectorWritable point : points) {
Vector theVec = point.getVector();
line.append(',');
if (theVec instanceof NamedVector) {
line.append(((NamedVector)theVec).getName());
} else {
String vecStr = theVec.asFormatString();
//do some basic manipulations for display
vecStr = VEC_PATTERN.matcher(vecStr).replaceAll("_");
line.append(vecStr);
}
}
getWriter().append(line).append("\n");
}
}
}