/**
* Process the file and cluster.
*
* @param outputFile The output file.
* @param clusters The number of clusters.
* @param theAnalyst The analyst to use.
* @param iterations The number of iterations to use.
*/
public void process(
final File outputFile,
final int clusters,
final EncogAnalyst theAnalyst,
final int iterations) {
final PrintWriter tw =
this.prepareOutputFile(
outputFile, analyst.getScript().getNormalize().countActiveFields() - 1, 1);
resetStatus();
final KMeansClustering cluster = new KMeansClustering(clusters, this.data);
cluster.iteration(iterations);
int clusterNum = 0;
for (final MLCluster cl : cluster.getClusters()) {
for (final MLData item : cl.getData()) {
final int clsIndex = item.size();
final LoadedRow lr = new LoadedRow(this.getFormat(), item.getData(), 1);
lr.getData()[clsIndex] = "" + clusterNum;
writeRow(tw, lr);
}
clusterNum++;
}
reportDone(false);
tw.close();
}
