001/** 002 * Copyright (c) 2011, The University of Southampton and the individual contributors. 003 * All rights reserved. 004 * 005 * Redistribution and use in source and binary forms, with or without modification, 006 * are permitted provided that the following conditions are met: 007 * 008 * * Redistributions of source code must retain the above copyright notice, 009 * this list of conditions and the following disclaimer. 010 * 011 * * Redistributions in binary form must reproduce the above copyright notice, 012 * this list of conditions and the following disclaimer in the documentation 013 * and/or other materials provided with the distribution. 014 * 015 * * Neither the name of the University of Southampton nor the names of its 016 * contributors may be used to endorse or promote products derived from this 017 * software without specific prior written permission. 018 * 019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND 020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED 021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE 022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR 023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES 024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; 025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON 026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT 027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 029 */ 030package org.openimaj.experiment.evaluation.cluster.analyser; 031 032import gnu.trove.map.hash.TIntIntHashMap; 033 034import java.util.HashMap; 035import java.util.Map; 036 037import org.openimaj.util.pair.IntIntPair; 038 039/** 040 * Tools for {@link ClusterAnalyser} instances 041 * @author Sina Samangooei (ss@ecs.soton.ac.uk) 042 */ 043public class ClusterAnalyserUtils{ 044 /** 045 * Map index to cluster from cluster array 046 * @param clustered 047 * @return index to cluster 048 */ 049 public static Map<Integer, Integer> invert(int[][] clustered) { 050 int cluster = 0; 051 Map<Integer, Integer> ret = new HashMap<Integer, Integer>(); 052 for (int[] is : clustered) { 053 for (int index : is) { 054 ret.put(index, cluster); 055 } 056 cluster++; 057 } 058 return ret; 059 } 060 061 /** 062 * @param is 063 * @param invCor 064 * @return the cluster with the maximum 065 */ 066 public static IntIntPair findMaxClassCount(int[] is, Map<Integer, Integer> invCor) { 067 TIntIntHashMap classCounts = new TIntIntHashMap(); 068 int max = 0; 069 int c = 0; 070 for (int i : is) { 071 Integer c_i = invCor.get(i); 072 if(c_i == null) continue; 073 int count = classCounts.adjustOrPutValue(c_i, 1, 1); 074 if(count > max){ 075 max = count; 076 c = c_i; 077 } 078 } 079 return IntIntPair.pair(c, max); 080 } 081 082}