| /* |
| * 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.samoa.evaluation.measures; |
| |
| import java.util.ArrayList; |
| import java.util.List; |
| |
| import org.apache.samoa.instances.DenseInstance; |
| import org.apache.samoa.instances.Instance; |
| import org.apache.samoa.moa.cluster.Cluster; |
| import org.apache.samoa.moa.cluster.Clustering; |
| import org.apache.samoa.moa.cluster.SphereCluster; |
| import org.apache.samoa.moa.core.DataPoint; |
| import org.apache.samoa.moa.evaluation.MeasureCollection; |
| |
| public class Separation extends MeasureCollection { |
| |
| public Separation() { |
| super(); |
| } |
| |
| @Override |
| protected String[] getNames() { |
| return new String[] { "BSS", "BSS-GT", "BSS-Ratio" }; |
| } |
| |
| // @Override |
| public void evaluateClusteringSamoa(Clustering clustering, |
| Clustering trueClustering, ArrayList<Instance> points) |
| throws Exception { |
| |
| double BSS_GT = 1.0; |
| double BSS; |
| int dimension = points.get(0).numAttributes() - 1; |
| SphereCluster sc = new SphereCluster(points, dimension); |
| |
| // DO INTERNAL EVALUATION |
| // clustering.getClustering().get(0).getCenter(); |
| |
| BSS = getBSS(clustering, sc.getCenter()); |
| |
| if (trueClustering != null) { |
| List<Instance> listInstances = new ArrayList<>(); |
| for (Cluster c : trueClustering.getClustering()) { |
| DenseInstance inst = new DenseInstance(c.getWeight(), c.getCenter()); |
| listInstances.add(inst); |
| } |
| SphereCluster gt = new SphereCluster(listInstances, dimension); |
| BSS_GT = getBSS(trueClustering, gt.getCenter()); |
| } |
| |
| addValue("BSS", BSS); |
| addValue("BSS-GT", BSS_GT); |
| addValue("BSS-Ratio", BSS / BSS_GT); |
| |
| } |
| |
| private double getBSS(Clustering clustering, double[] mean) { |
| double bss = 0.0; |
| for (int i = 0; i < clustering.size(); i++) { |
| double weight = clustering.get(i).getWeight(); |
| double sum = 0.0; |
| for (int j = 0; j < mean.length; j++) { |
| sum += Math.pow((mean[j] - clustering.get(i).getCenter()[j]), 2); |
| } |
| bss += weight * sum; |
| } |
| |
| return bss; |
| } |
| |
| @Override |
| protected void evaluateClustering(Clustering clustering, |
| Clustering trueClustering, ArrayList<DataPoint> points) |
| throws Exception { |
| double BSS_GT = 1.0; |
| double BSS; |
| int dimension = points.get(0).numAttributes() - 1; |
| SphereCluster sc = new SphereCluster(points, dimension); |
| |
| // DO INTERNAL EVALUATION |
| // clustering.getClustering().get(0).getCenter(); |
| |
| BSS = getBSS(clustering, sc.getCenter()); |
| |
| if (trueClustering != null) { |
| String s = ""; |
| List<Instance> listInstances = new ArrayList<>(); |
| for (Cluster c : trueClustering.getClustering()) { |
| DenseInstance inst = new DenseInstance(c.getWeight(), c.getCenter()); |
| listInstances.add(inst); |
| s += " " + c.getWeight(); |
| } |
| SphereCluster gt = new SphereCluster(listInstances, dimension); |
| BSS_GT = getBSS(trueClustering, gt.getCenter()); |
| } |
| |
| addValue("BSS", BSS); |
| addValue("BSS-GT", BSS_GT); |
| addValue("BSS-Ratio", BSS / BSS_GT); |
| } |
| } |