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Clustering.java
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/**
* Clustering
*
* @author Ludo Waltman
* @author Nees Jan van Eck
* @version 1.3.1 11/17/14
*/
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.ObjectInputStream;
import java.io.ObjectOutputStream;
import java.io.Serializable;
import java.util.Arrays;
public class Clustering implements Cloneable, Serializable
{
private static final long serialVersionUID = 1;
protected int nNodes;
protected int nClusters;
protected int[] cluster;
public static Clustering load(String fileName) throws ClassNotFoundException, IOException
{
Clustering clustering;
ObjectInputStream objectInputStream;
objectInputStream = new ObjectInputStream(new FileInputStream(fileName));
clustering = (Clustering)objectInputStream.readObject();
objectInputStream.close();
return clustering;
}
public Clustering(int nNodes)
{
this.nNodes = nNodes;
cluster = new int[nNodes];
nClusters = 1;
}
public Clustering(int[] cluster)
{
nNodes = cluster.length;
this.cluster = (int[])cluster.clone();
nClusters = Arrays2.calcMaximum(cluster) + 1;
}
public Object clone()
{
Clustering clonedClustering;
try
{
clonedClustering = (Clustering)super.clone();
clonedClustering.cluster = getClusters();
return clonedClustering;
}
catch (CloneNotSupportedException e)
{
return null;
}
}
public void save(String fileName) throws IOException
{
ObjectOutputStream objectOutputStream;
objectOutputStream = new ObjectOutputStream(new FileOutputStream(fileName));
objectOutputStream.writeObject(this);
objectOutputStream.close();
}
public int getNNodes()
{
return nNodes;
}
public int getNClusters()
{
return nClusters;
}
public int[] getClusters()
{
return (int[])cluster.clone();
}
public int getCluster(int node)
{
return cluster[node];
}
public int[] getNNodesPerCluster()
{
int i;
int[] nNodesPerCluster;
nNodesPerCluster = new int[nClusters];
for (i = 0; i < nNodes; i++)
nNodesPerCluster[cluster[i]]++;
return nNodesPerCluster;
}
public int[][] getNodesPerCluster()
{
int i;
int[] nNodesPerCluster;
int[][] nodePerCluster;
nodePerCluster = new int[nClusters][];
nNodesPerCluster = getNNodesPerCluster();
for (i = 0; i < nClusters; i++)
{
nodePerCluster[i] = new int[nNodesPerCluster[i]];
nNodesPerCluster[i] = 0;
}
for (i = 0; i < nNodes; i++)
{
nodePerCluster[cluster[i]][nNodesPerCluster[cluster[i]]] = i;
nNodesPerCluster[cluster[i]]++;
}
return nodePerCluster;
}
public void setCluster(int node, int cluster)
{
this.cluster[node] = cluster;
nClusters = Math.max(nClusters, cluster + 1);
}
public void initSingletonClusters()
{
int i;
for (i = 0; i < nNodes; i++)
cluster[i] = i;
nClusters = nNodes;
}
public void orderClustersByNNodes()
{
class ClusterNNodes implements Comparable<ClusterNNodes>
{
public int cluster;
public int nNodes;
public ClusterNNodes(int cluster, int nNodes)
{
this.cluster = cluster;
this.nNodes = nNodes;
}
public int compareTo(ClusterNNodes clusterNNodes)
{
return (clusterNNodes.nNodes > nNodes) ? 1 : ((clusterNNodes.nNodes < nNodes) ? -1 : 0);
}
}
ClusterNNodes[] clusterNNodes;
int i;
int[] newCluster, nNodesPerCluster;
nNodesPerCluster = getNNodesPerCluster();
clusterNNodes = new ClusterNNodes[nClusters];
for (i = 0; i < nClusters; i++)
clusterNNodes[i] = new ClusterNNodes(i, nNodesPerCluster[i]);
Arrays.sort(clusterNNodes);
newCluster = new int[nClusters];
i = 0;
do
{
newCluster[clusterNNodes[i].cluster] = i;
i++;
}
while ((i < nClusters) && (clusterNNodes[i].nNodes > 0));
nClusters = i;
for (i = 0; i < nNodes; i++)
cluster[i] = newCluster[cluster[i]];
}
public void mergeClusters(Clustering clustering)
{
int i;
for (i = 0; i < nNodes; i++)
cluster[i] = clustering.cluster[cluster[i]];
nClusters = clustering.nClusters;
}
}