KMeansTest.java

/*
 * Apache License
 * Version 2.0, January 2004
 * http://www.apache.org/licenses/
 *
 *    Copyright 2013 Aurelian Tutuianu
 *    Copyright 2014 Aurelian Tutuianu
 *    Copyright 2015 Aurelian Tutuianu
 *    Copyright 2016 Aurelian Tutuianu
 *
 *    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.
 *
 */

package rapaio.ml.clustering;

import org.junit.Test;
import rapaio.data.Frame;
import rapaio.datasets.Datasets;

import java.io.IOException;
import java.net.URISyntaxException;

/**
 * Created by <a href="mailto:padreati@yahoo.com">Aurelian Tutuianu</a> on 9/25/15.
 */
public class KMeansTest {

    @Test
    public void summaryTest() throws IOException, URISyntaxException {
        Frame iris = Datasets.loadIrisDataset();

        for (int i = 1; i < 5; i++) {
            KMeans km = new KMeans()
                    .withK(i)
                    .withRuns(100);
            km.cluster(iris, "petal-length", "petal-width");

            km.printSummary();
        }
    }
}