/*
* Artificial Intelligence for Humans
* Volume 1: Fundamental Algorithms
* Java Version
* http://www.aifh.org
* http://www.jeffheaton.com
*
* Code repository:
* https://github.com/jeffheaton/aifh
* Copyright 2013 by Jeff Heaton
*
* 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 com.heatonresearch.aifh.kmeans;
import com.heatonresearch.aifh.general.data.BasicData;
import org.junit.Test;
import static junit.framework.Assert.assertEquals;
/**
* Test the cluster class.
*/
public class TestCluster {
@Test
public void testDimensions() {
final Cluster cluster = new Cluster(3);
assertEquals(true, cluster.toString().length() > 0);
assertEquals(3, cluster.getDimensions());
}
@Test
public void testCenter() {
final Cluster cluster = new Cluster(3);
final double[] ob1 = {2.0, 10.0, 100.0};
final double[] ob2 = {4.0, 20.0, 200.0};
final double[] ob3 = {6.0, 30.0, 300.0};
cluster.getObservations().add(new BasicData(ob1));
cluster.getObservations().add(new BasicData(ob2));
cluster.getObservations().add(new BasicData(ob3));
assertEquals(3, cluster.getObservations().size());
cluster.calculateCenter();
assertEquals(4.0, cluster.getCenter()[0], 0.00001);
assertEquals(20.0, cluster.getCenter()[1], 0.00001);
assertEquals(200.0, cluster.getCenter()[2], 0.00001);
}
}