/**
* 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.clustering.spectral.eigencuts;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.mahout.math.RandomAccessSparseVector;
import org.apache.mahout.math.Vector;
import org.apache.mahout.math.VectorWritable;
/**
* <p>The point of this class is to take all the arrays of sensitivities
* and convert them to a single matrix. Since there may be many values
* that, according to their (i, j) coordinates, overlap in the matrix,
* the "winner" will be determined by whichever value is smaller.</p>
*/
public class EigencutsSensitivityReducer extends
Reducer<IntWritable, EigencutsSensitivityNode, IntWritable, VectorWritable> {
@Override
protected void reduce(IntWritable key, Iterable<EigencutsSensitivityNode> arr, Context context)
throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
Vector v = new RandomAccessSparseVector(conf.getInt(EigencutsKeys.AFFINITY_DIMENSIONS, Integer.MAX_VALUE), 100);
double threshold = Double.parseDouble(conf.get(EigencutsKeys.TAU))
/ Double.parseDouble(conf.get(EigencutsKeys.DELTA));
for (EigencutsSensitivityNode n : arr) {
if (n.getSensitivity() < threshold && n.getSensitivity() < v.getQuick(n.getColumn())) {
v.setQuick(n.getColumn(), n.getSensitivity());
}
}
context.write(key, new VectorWritable(v));
}
}