| /* |
| * 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.commons.math3.ml.clustering.evaluation; |
| |
| import static org.junit.Assert.assertEquals; |
| import static org.junit.Assert.assertFalse; |
| import static org.junit.Assert.assertTrue; |
| |
| import java.util.ArrayList; |
| import java.util.List; |
| |
| import org.apache.commons.math3.ml.clustering.Cluster; |
| import org.apache.commons.math3.ml.clustering.DoublePoint; |
| import org.apache.commons.math3.ml.distance.EuclideanDistance; |
| import org.junit.Before; |
| import org.junit.Test; |
| |
| public class SumOfClusterVariancesTest { |
| |
| private ClusterEvaluator<DoublePoint> evaluator; |
| |
| @Before |
| public void setUp() { |
| evaluator = new SumOfClusterVariances<DoublePoint>(new EuclideanDistance()); |
| } |
| |
| @Test |
| public void testScore() { |
| final DoublePoint[] points1 = new DoublePoint[] { |
| new DoublePoint(new double[] { 1 }), |
| new DoublePoint(new double[] { 2 }), |
| new DoublePoint(new double[] { 3 }) |
| }; |
| |
| final DoublePoint[] points2 = new DoublePoint[] { |
| new DoublePoint(new double[] { 1 }), |
| new DoublePoint(new double[] { 5 }), |
| new DoublePoint(new double[] { 10 }) |
| }; |
| |
| final List<Cluster<DoublePoint>> clusters = new ArrayList<Cluster<DoublePoint>>(); |
| |
| final Cluster<DoublePoint> cluster1 = new Cluster<DoublePoint>(); |
| for (DoublePoint p : points1) { |
| cluster1.addPoint(p); |
| } |
| clusters.add(cluster1); |
| |
| assertEquals(1.0/3.0, evaluator.score(clusters), 1e-6); |
| |
| final Cluster<DoublePoint> cluster2 = new Cluster<DoublePoint>(); |
| for (DoublePoint p : points2) { |
| cluster2.addPoint(p); |
| } |
| clusters.add(cluster2); |
| |
| assertEquals(6.148148148, evaluator.score(clusters), 1e-6); |
| } |
| |
| @Test |
| public void testOrdering() { |
| assertTrue(evaluator.isBetterScore(10, 20)); |
| assertFalse(evaluator.isBetterScore(20, 1)); |
| } |
| } |