use of smile.clustering.XMeans in project smile by haifengl.
the class XMeansDemo method learn.
@Override
public JComponent learn() {
try {
maxClusterNumber = Integer.parseInt(maxClusterNumberField.getText().trim());
if (maxClusterNumber < 2) {
JOptionPane.showMessageDialog(this, "Invalid Max K: " + maxClusterNumber, "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid Max K: " + maxClusterNumberField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
long clock = System.currentTimeMillis();
XMeans xmeans = new XMeans(dataset[datasetIndex], maxClusterNumber);
System.out.format("X-Means clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
PlotCanvas plot = ScatterPlot.plot(xmeans.centroids(), '@');
for (int k = 0; k < xmeans.getNumClusters(); k++) {
if (xmeans.getClusterSize()[k] > 0) {
double[][] cluster = new double[xmeans.getClusterSize()[k]][];
for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
if (xmeans.getClusterLabel()[i] == k) {
cluster[j++] = dataset[datasetIndex][i];
}
}
plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
}
}
plot.points(xmeans.centroids(), '@');
return plot;
}
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