/*
* #%L
* gitools-core
* %%
* Copyright (C) 2013 Universitat Pompeu Fabra - Biomedical Genomics group
* %%
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as
* published by the Free Software Foundation, either version 3 of the
* License, or (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public
* License along with this program. If not, see
* <http://www.gnu.org/licenses/gpl-3.0.html>.
* #L%
*/
/*******************************************************************************
* Copyright 2013 Lars Behnke
*
* 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 org.gitools.analysis.clustering.hierarchical;
import org.gitools.heatmap.header.HierarchicalCluster;
public class ClusterPair implements Comparable<ClusterPair> {
private HierarchicalCluster lCluster;
private HierarchicalCluster rCluster;
private Double linkageDistance;
public ClusterPair() {
super();
}
public ClusterPair(Double linkageDistance, HierarchicalCluster lCluster, HierarchicalCluster rCluster) {
super();
this.linkageDistance = linkageDistance;
this.lCluster = lCluster;
this.rCluster = rCluster;
}
public HierarchicalCluster getlCluster() {
return lCluster;
}
public void setlCluster(HierarchicalCluster lCluster) {
this.lCluster = lCluster;
}
public HierarchicalCluster getrCluster() {
return rCluster;
}
public void setrCluster(HierarchicalCluster rCluster) {
this.rCluster = rCluster;
}
public Double getLinkageDistance() {
return linkageDistance;
}
public void setLinkageDistance(Double distance) {
this.linkageDistance = distance;
}
@Override
public int compareTo(ClusterPair o) {
int result;
if (o == null || o.getLinkageDistance() == null) {
result = -1;
} else if (getLinkageDistance() == null) {
result = 1;
} else {
result = getLinkageDistance().compareTo(o.getLinkageDistance());
}
if (result == 0) {
result = Integer.compare(hashCode(), o.hashCode());
}
return result;
}
public HierarchicalCluster agglomerate() {
HierarchicalCluster cluster = new HierarchicalCluster(lCluster.getIdentifiers(), rCluster.getIdentifiers());
cluster.setDistance(getLinkageDistance());
cluster.setWeight(lCluster.getWeight() + rCluster.getWeight());
cluster.addChild(lCluster);
cluster.addChild(rCluster);
lCluster.setParent(cluster);
rCluster.setParent(cluster);
return cluster;
}
@Override
public String toString() {
StringBuilder sb = new StringBuilder();
if (lCluster != null) {
sb.append(lCluster);
}
if (rCluster != null) {
if (sb.length() > 0) {
sb.append(" + ");
}
sb.append(rCluster);
}
sb.append(" : ").append(linkageDistance);
return sb.toString();
}
@Override
public boolean equals(Object o) {
if (this == o) return true;
if (o == null || getClass() != o.getClass()) return false;
ClusterPair that = (ClusterPair) o;
if (!lCluster.equals(that.lCluster)) return false;
if (!rCluster.equals(that.rCluster)) return false;
return true;
}
@Override
public int hashCode() {
int result = lCluster.hashCode();
result = 31 * result + rCluster.hashCode();
return result;
}
}