Examples with GridLayout java.awt.GridLayout used on opensource projects

Example 11 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class RandomProjectionDemo method learn.

@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);
    RandomProjection rp = new RandomProjection(data[0].length, 2, sparseBox.isSelected());
    System.out.format("%d x %d Random Projection:\n", data[0].length, 3);
    double[][] projection = rp.getProjection();
    for (int i = 0; i < projection.length; i++) {
        for (int j = 0; j < projection[i].length; j++) {
            System.out.format("% .4f ", projection[i][j]);
        }
        System.out.println();
    }
    y = rp.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("Random Projection");
    pane.add(plot);
    rp = new RandomProjection(data[0].length, 3, sparseBox.isSelected());
    System.out.format("%d x %d Random Projection:\n", data[0].length, 3);
    projection = rp.getProjection();
    for (int i = 0; i < projection.length; i++) {
        for (int j = 0; j < projection[i].length; j++) {
            System.out.format("% .4f ", projection[i][j]);
        }
        System.out.println();
    }
    y = rp.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("Random Projection");
    pane.add(plot);
    return pane;
}

Example 12 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class SammonMappingDemo method learn.

/**
     * Execute the MDS algorithm and return a swing JComponent representing
     * the clusters.
     */
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(1, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    String[] labels = dataset[datasetIndex].toArray(new String[dataset[datasetIndex].size()]);
    if (labels[0] == null) {
        Attribute[] attr = dataset[datasetIndex].attributes();
        labels = new String[attr.length];
        for (int i = 0; i < labels.length; i++) {
            labels[i] = attr[i].getName();
        }
    }
    long clock = System.currentTimeMillis();
    SammonMapping sammon = new SammonMapping(data, 2);
    System.out.format("Learn Sammon's Mapping (k=2) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    PlotCanvas plot = ScatterPlot.plot(sammon.getCoordinates(), labels);
    plot.setTitle("Sammon's Mapping (k = 2)");
    pane.add(plot);
    clock = System.currentTimeMillis();
    sammon = new SammonMapping(data, 3);
    System.out.format("Learn Sammon's Mapping (k=3) from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    plot = ScatterPlot.plot(sammon.getCoordinates(), labels);
    plot.setTitle("Sammon's Mapping (k = 3)");
    pane.add(plot);
    return pane;
}

Example 13 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class IsoMapDemo method learn.

@Override
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(1, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    if (data.length > 1000) {
        double[][] x = new double[1000][];
        for (int i = 0; i < 1000; i++) x[i] = data[i];
        data = x;
    }
    long clock = System.currentTimeMillis();
    IsoMap isomap = new IsoMap(data, 2, k);
    System.out.format("Learn IsoMap from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    double[][] y = isomap.getCoordinates();
    PlotCanvas plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    plot.points(y, 'o', Color.RED);
    int n = y.length;
    Graph graph = isomap.getNearestNeighborGraph();
    for (int i = 0; i < n; i++) {
        for (int j = 0; j < i; j++) {
            if (graph.hasEdge(i, j)) {
                plot.line(y[i], y[j]);
            }
        }
    }
    plot.setTitle("IsoMap");
    pane.add(plot);
    return pane;
}

Example 14 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class LLEDemo method learn.

@Override
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(1, 2));
    double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
    if (data.length > 1000) {
        double[][] x = new double[1000][];
        for (int i = 0; i < 1000; i++) x[i] = data[i];
        data = x;
    }
    long clock = System.currentTimeMillis();
    LLE lle = new LLE(data, 2, k);
    System.out.format("Learn LLE from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    double[][] y = lle.getCoordinates();
    PlotCanvas plot = new PlotCanvas(Math.colMin(y), Math.colMax(y));
    plot.points(y, 'o', Color.RED);
    int n = y.length;
    Graph graph = lle.getNearestNeighborGraph();
    for (int i = 0; i < n; i++) {
        for (int j = 0; j < i; j++) {
            if (graph.hasEdge(i, j)) {
                plot.line(y[i], y[j]);
            }
        }
    }
    plot.setTitle("LLE");
    pane.add(plot);
    return pane;
}

Example 15 with GridLayout

use of java.awt.GridLayout in project smile by haifengl.

the class GHADemo method learn.

@Override
public JComponent learn() {
    JPanel pane = new JPanel(new GridLayout(2, 2));
    double[][] data = Math.clone(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);
    clock = System.currentTimeMillis();
    GHA gha = new GHA(data[0].length, 2, 0.00001);
    for (int iter = 1; iter <= 500; iter++) {
        double error = 0.0;
        for (int i = 0; i < data.length; i++) {
            error += gha.learn(data[i]);
        }
        error /= data.length;
        if (iter % 100 == 0) {
            System.out.format("Iter %3d, Error = %.5g\n", iter, error);
        }
    }
    System.out.format("Learn GHA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    y = gha.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("GHA");
    pane.add(plot);
    clock = System.currentTimeMillis();
    gha = new GHA(data[0].length, 3, 0.00001);
    for (int iter = 1; iter <= 500; iter++) {
        double error = 0.0;
        for (int i = 0; i < data.length; i++) {
            error += gha.learn(data[i]);
        }
        error /= data.length;
        if (iter % 100 == 0) {
            System.out.format("Iter %3d, Error = %.5g\n", iter, error);
        }
    }
    System.out.format("Learn GHA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    y = gha.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("GHA");
    pane.add(plot);
    return pane;
}