/* * Encog(tm) Core v3.4 - Java Version * http://www.heatonresearch.com/encog/ * https://github.com/encog/encog-java-core * Copyright 2008-2016 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. * * For more information on Heaton Research copyrights, licenses * and trademarks visit: * http://www.heatonresearch.com/copyright */ package org.encog.ml.kmeans; 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; import org.junit.Assert; import org.junit.Test; public class TestKMeans { public static final double[][] DATA = { {28,15,22}, {16,15,32}, {32,20,44}, {1,2,3}, {3,2,1} }; @Test 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(); //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()); ds.getRecord(0, pair); double t = pair.getInputArray()[0]; for(int j=0;j<ds.getRecordCount();j++) { ds.getRecord(j, pair); for(j=0;j<pair.getInputArray().length;j++) { if(t>10) { Assert.assertTrue(pair.getInputArray()[j]>10); } else { Assert.assertTrue(pair.getInputArray()[j]<10); } } } i++; } } }