use of smile.vq.NeuralMap in project smile by haifengl.
the class NeuralMapDemo method learn.
@Override
public JComponent learn() {
try {
T = Double.parseDouble(TNumberField.getText().trim());
if (T <= 0) {
JOptionPane.showMessageDialog(this, "Invalid T: " + T, "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
} catch (Exception e) {
JOptionPane.showMessageDialog(this, "Invalid T: " + TNumberField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
return null;
}
long clock = System.currentTimeMillis();
NeuralMap cortex = new NeuralMap(2, T, 0.05, 0.0006, 5, 3);
for (int i = 0; i < 5; i++) {
for (double[] x : dataset[datasetIndex]) {
cortex.update(x);
}
}
cortex.purge(16);
cortex.partition(clusterNumber, 16);
System.out.format("Cortex clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
int[] y = new int[dataset[datasetIndex].length];
int[] clusterSize = new int[clusterNumber];
for (int i = 0; i < dataset[datasetIndex].length; i++) {
y[i] = cortex.predict(dataset[datasetIndex][i]);
if (y[i] != Clustering.OUTLIER) {
clusterSize[y[i]]++;
}
}
List<NeuralMap.Neuron> nodes = cortex.neurons();
double[][] x = new double[nodes.size()][];
for (int i = 0; i < x.length; i++) {
x[i] = nodes.get(i).w;
}
PlotCanvas plot = ScatterPlot.plot(x, '@');
for (int k = 0; k < clusterNumber; k++) {
if (clusterSize[k] > 0) {
double[][] cluster = new double[clusterSize[k]][];
for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
if (y[i] == k) {
cluster[j++] = dataset[datasetIndex][i];
}
}
plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
}
}
for (int i = 0; i < nodes.size(); i++) {
NeuralMap.Neuron neuron = nodes.get(i);
for (NeuralMap.Neuron neighbor : neuron.neighbors) {
plot.line(neuron.w, neighbor.w);
}
}
plot.points(x, '@');
return plot;
}
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