| /* |
| * 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.solr.client.solrj.io.eval; |
| |
| import java.io.IOException; |
| import java.util.ArrayList; |
| import java.util.List; |
| import java.util.Map; |
| import java.util.HashMap; |
| |
| import org.apache.commons.math3.ml.clustering.KMeansPlusPlusClusterer; |
| import org.apache.commons.math3.ml.clustering.MultiKMeansPlusPlusClusterer; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamExpression; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamExpressionNamedParameter; |
| import org.apache.solr.client.solrj.io.stream.expr.StreamFactory; |
| |
| public class MultiKmeansEvaluator extends RecursiveObjectEvaluator implements ManyValueWorker { |
| protected static final long serialVersionUID = 1L; |
| |
| private int maxIterations = 1000; |
| |
| public MultiKmeansEvaluator(StreamExpression expression, StreamFactory factory) throws IOException{ |
| super(expression, factory); |
| |
| List<StreamExpressionNamedParameter> namedParams = factory.getNamedOperands(expression); |
| |
| for(StreamExpressionNamedParameter namedParam : namedParams){ |
| if(namedParam.getName().equals("maxIterations")) { |
| this.maxIterations = Integer.parseInt(namedParam.getParameter().toString().trim()); |
| } else { |
| throw new IOException("Unexpected named parameter:"+namedParam.getName()); |
| } |
| } |
| } |
| |
| @Override |
| @SuppressWarnings({"unchecked"}) |
| public Object doWork(Object... values) throws IOException { |
| |
| if(values.length != 3) { |
| throw new IOException("The multiKmeans function expects three parameters; a matrix to cluster, k and number of trials."); |
| } |
| |
| Object value1 = values[0]; |
| Object value2 = values[1]; |
| Object value3 = values[2]; |
| |
| Matrix matrix = null; |
| int k = 0; |
| int trials=0; |
| |
| if(value1 instanceof Matrix) { |
| matrix = (Matrix)value1; |
| } else { |
| throw new IOException("The first parameter for multiKmeans should be the observation matrix."); |
| } |
| |
| if(value2 instanceof Number) { |
| k = ((Number)value2).intValue(); |
| } else { |
| throw new IOException("The second parameter for multiKmeans should be k."); |
| } |
| |
| if(value3 instanceof Number) { |
| trials= ((Number)value3).intValue(); |
| } else { |
| throw new IOException("The third parameter for multiKmeans should be trials."); |
| } |
| |
| @SuppressWarnings({"rawtypes"}) |
| KMeansPlusPlusClusterer<KmeansEvaluator.ClusterPoint> kmeans = new KMeansPlusPlusClusterer(k, maxIterations); |
| @SuppressWarnings({"rawtypes"}) |
| MultiKMeansPlusPlusClusterer multiKmeans = new MultiKMeansPlusPlusClusterer(kmeans, trials); |
| |
| List<KmeansEvaluator.ClusterPoint> points = new ArrayList<>(); |
| double[][] data = matrix.getData(); |
| |
| List<String> ids = matrix.getRowLabels(); |
| |
| for(int i=0; i<data.length; i++) { |
| double[] vec = data[i]; |
| points.add(new KmeansEvaluator.ClusterPoint(ids.get(i), vec)); |
| } |
| |
| @SuppressWarnings({"rawtypes"}) |
| Map fields = new HashMap(); |
| |
| fields.put("k", k); |
| fields.put("trials", trials); |
| fields.put("distance", "euclidean"); |
| fields.put("maxIterations", maxIterations); |
| |
| return new KmeansEvaluator.ClusterTuple(fields, multiKmeans.cluster(points), matrix.getColumnLabels()); |
| } |
| |
| } |
| |