/*
* Encog(tm) Core Unit Tests v3.0 - Java Version
* http://www.heatonresearch.com/encog/
* http://code.google.com/p/encog-java/
* Copyright 2008-2011 Heaton Research, Inc.
*
* Licensed 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.
*
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*/
package org.encog.ml.kmeans;
import junit.framework.Assert;
import junit.framework.TestCase;
import org.encog.ml.MLCluster;
import org.encog.ml.data.MLDataPair;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.data.basic.BasicMLData;
import org.encog.ml.data.basic.BasicMLDataPair;
import org.encog.ml.data.basic.BasicMLDataSet;
public class TestKMeans extends TestCase {
public static final double[][] DATA = {
{28,15,22},
{16,15,32},
{32,20,44},
{1,2,3},
{3,2,1} };
public void testCluster (){
BasicMLDataSet set = new BasicMLDataSet();
for(int i=0;i<DATA.length;i++)
{
set.add(new BasicMLData(DATA[i]));
}
KMeansClustering kmeans = new KMeansClustering(2,set);
kmeans.iteration(100);
Assert.assertEquals(37, (int)kmeans.getWCSS());
int i = 1;
for(MLCluster cluster: kmeans.getClusters())
{
MLDataSet ds = cluster.createDataSet();
MLDataPair pair = BasicMLDataPair.createPair(ds.getInputSize(), ds.getIdealSize());
for(int j=0;j<ds.getRecordCount();j++)
{
ds.getRecord(j, pair);
for(j=0;j<pair.getInputArray().length;j++) {
if(i==1) {
Assert.assertTrue(pair.getInputArray()[j]>10);
} else {
Assert.assertTrue(pair.getInputArray()[j]<10);
}
}
}
i++;
}
}
}