@Override
public JComponent learn() {
JPanel pane = new JPanel(new GridLayout(2, 2));
double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
String[] names = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
if (names[0] == null) {
names = null;
}
long clock = System.currentTimeMillis();
PCA pca = new PCA(data, true);
System.out.format(
"Learn PCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
pca.setProjection(2);
double[][] y = pca.project(data);
PlotCanvas plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
if (names != null) {
plot.points(y, names);
} else if (dataset[datasetIndex].response() != null) {
int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
for (int i = 0; i < y.length; i++) {
plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
}
} else {
plot.points(y, pointLegend);
}
plot.setTitle("PCA");
pane.add(plot);
pca.setProjection(3);
y = pca.project(data);
plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
if (names != null) {
plot.points(y, names);
} else if (dataset[datasetIndex].response() != null) {
int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
for (int i = 0; i < y.length; i++) {
plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
}
} else {
plot.points(y, pointLegend);
}
plot.setTitle("PCA");
pane.add(plot);
PPCA ppca = new PPCA(data, 2);
y = ppca.project(data);
plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
if (names != null) {
plot.points(y, names);
} else if (dataset[datasetIndex].response() != null) {
int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
for (int i = 0; i < y.length; i++) {
plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
}
} else {
plot.points(y, pointLegend);
}
plot.setTitle("PPCA");
pane.add(plot);
clock = System.currentTimeMillis();
ppca = new PPCA(data, 3);
System.out.format(
"Learn PPCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
y = ppca.project(data);
plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
if (names != null) {
plot.points(y, names);
} else if (dataset[datasetIndex].response() != null) {
int[] labels = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
for (int i = 0; i < y.length; i++) {
plot.point(pointLegend, Palette.COLORS[labels[i]], y[i]);
}
} else {
plot.points(y, pointLegend);
}
plot.setTitle("PPCA");
pane.add(plot);
return pane;
}
public ScatterPlotDemo() {
super(new GridLayout(1, 2));
double[][] data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10000 + Math.random();
data[j][1] = Math.random();
}
PlotCanvas canvas = ScatterPlot.plot(data);
canvas.setTitle("2D Scatter Plot");
canvas.setAxisLabels("X Axis", "A Long Label");
add(canvas);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10001 + Math.random();
data[j][1] = 1 + Math.random();
}
canvas.points(data, '*', Color.RED);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10002 + Math.random();
data[j][1] = Math.random();
}
canvas.points(data, '+', Color.BLUE);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10000 + Math.random();
data[j][1] = 2 + Math.random();
}
canvas.points(data, '-', Color.GREEN);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10001 + Math.random();
data[j][1] = Math.random();
}
canvas.points(data, 'x', Color.CYAN);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10000 + Math.random();
data[j][1] = 1 + Math.random();
}
canvas.points(data, '@', Color.MAGENTA);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10002 + Math.random();
data[j][1] = Math.random();
}
canvas.points(data, 's', Color.ORANGE);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10000 + Math.random();
data[j][1] = 2 + Math.random();
}
canvas.points(data, 'S', Color.PINK);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10002 + Math.random();
data[j][1] = 2 + Math.random();
}
canvas.points(data, 'a', Color.YELLOW);
data = new double[10][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10001.5 + Math.random();
data[j][1] = 1.5 + Math.random();
}
canvas.points(data, 'A', Color.DARK_GRAY);
data = new double[100][2];
for (int j = 0; j < data.length; j++) {
data[j][0] = 10000 + 3 * Math.random();
data[j][1] = 3 * Math.random();
}
canvas.points(data, '.', Color.BLACK);
data = new double[100][3];
for (int j = 0; j < data.length; j++) {
data[j][0] = Math.random();
data[j][1] = Math.random();
data[j][2] = Math.random();
}
PlotCanvas canvas3d = ScatterPlot.plot(data);
canvas3d.setTitle("3D Scatter Plot");
add(canvas3d);
}
