Examples with PlotCanvas smile.plot.PlotCanvas used on opensource projects

Example 1 with PlotCanvas

use of smile.plot.PlotCanvas in project smile by haifengl.

the class ClassificationDemo method actionPerformed.

@Override
public void actionPerformed(ActionEvent e) {
    if ("startButton".equals(e.getActionCommand())) {
        Thread thread = new Thread(this);
        thread.start();
    } else if ("datasetBox".equals(e.getActionCommand())) {
        datasetIndex = datasetBox.getSelectedIndex();
        if (dataset[datasetIndex] == null) {
            DelimitedTextParser parser = new DelimitedTextParser();
            parser.setDelimiter("[\t ]+");
            parser.setResponseIndex(new NominalAttribute("class"), 0);
            try {
                dataset[datasetIndex] = parser.parse(datasetName[datasetIndex], smile.data.parser.IOUtils.getTestDataFile(datasource[datasetIndex]));
            } catch (Exception ex) {
                JOptionPane.showMessageDialog(null, "Failed to load dataset.", "ERROR", JOptionPane.ERROR_MESSAGE);
                System.err.println(ex);
            }
        }
        double[][] data = dataset[datasetIndex].toArray(new double[dataset[datasetIndex].size()][]);
        int[] label = dataset[datasetIndex].toArray(new int[dataset[datasetIndex].size()]);
        if (data.length < 500) {
            pointLegend = 'o';
        } else {
            pointLegend = '.';
        }
        PlotCanvas canvas = ScatterPlot.plot(data, pointLegend);
        for (int i = 0; i < data.length; i++) {
            canvas.point(pointLegend, Palette.COLORS[label[i]], data[i]);
        }
        BorderLayout layout = (BorderLayout) getLayout();
        remove(layout.getLayoutComponent(BorderLayout.CENTER));
        add(canvas, BorderLayout.CENTER);
        validate();
    }
}

Example 2 with PlotCanvas

use of smile.plot.PlotCanvas in project smile by haifengl.

the class CLARANSDemo method learn.

@Override
public JComponent learn() {
    try {
        numLocal = Integer.parseInt(numLocalField.getText().trim());
        if (numLocal < 5) {
            JOptionPane.showMessageDialog(this, "Toll smal NumLocal: " + numLocal, ERROR, JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid NumLocal: " + numLocalField.getText(), ERROR, JOptionPane.ERROR_MESSAGE);
        return null;
    }
    try {
        maxNeighbor = Integer.parseInt(maxNeighborField.getText().trim());
        if (maxNeighbor < 5) {
            JOptionPane.showMessageDialog(this, "Too small MaxNeighbor: " + maxNeighbor, ERROR, JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid MaxNeighbor: " + maxNeighborField.getText(), ERROR, JOptionPane.ERROR_MESSAGE);
        return null;
    }
    long clock = System.currentTimeMillis();
    CLARANS<double[]> clarans = new CLARANS<>(dataset[datasetIndex], new EuclideanDistance(), clusterNumber, maxNeighbor, numLocal);
    System.out.format("CLARANS clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
    PlotCanvas plot = ScatterPlot.plot(clarans.medoids(), '@');
    for (int k = 0; k < clusterNumber; k++) {
        if (clarans.getClusterSize()[k] > 0) {
            double[][] cluster = new double[clarans.getClusterSize()[k]][];
            for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
                if (clarans.getClusterLabel()[i] == k) {
                    cluster[j++] = dataset[datasetIndex][i];
                }
            }
            plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
        }
    }
    plot.points(clarans.medoids(), '@');
    return plot;
}

Example 3 with PlotCanvas

use of smile.plot.PlotCanvas in project smile by haifengl.

the class DeterministicAnnealingDemo method learn.

@Override
public JComponent learn() {
    try {
        alpha = Double.parseDouble(alphaField.getText().trim());
        if (alpha <= 0 || alpha >= 1) {
            JOptionPane.showMessageDialog(this, "Invalid alpha: " + alpha, "Error", JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid K: " + alphaField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
        return null;
    }
    long clock = System.currentTimeMillis();
    DeterministicAnnealing annealing = new DeterministicAnnealing(dataset[datasetIndex], clusterNumber, alpha);
    System.out.format("Deterministic Annealing clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
    PlotCanvas plot = ScatterPlot.plot(annealing.centroids(), '@');
    for (int k = 0; k < clusterNumber; k++) {
        if (annealing.getClusterSize()[k] > 0) {
            double[][] cluster = new double[annealing.getClusterSize()[k]][];
            for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
                if (annealing.getClusterLabel()[i] == k) {
                    cluster[j++] = dataset[datasetIndex][i];
                }
            }
            plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
        }
    }
    plot.points(annealing.centroids(), '@');
    return plot;
}

Example 4 with PlotCanvas

use of smile.plot.PlotCanvas in project smile by haifengl.

the class SOMDemo method learn.

@Override
public JComponent learn() {
    try {
        width = Integer.parseInt(widthField.getText().trim());
        if (width < 1) {
            JOptionPane.showMessageDialog(this, "Invalid width: " + width, "Error", JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid width: " + widthField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
        return null;
    }
    try {
        height = Integer.parseInt(heightField.getText().trim());
        if (height < 1) {
            JOptionPane.showMessageDialog(this, "Invalid height: " + height, "Error", JOptionPane.ERROR_MESSAGE);
            return null;
        }
    } catch (Exception e) {
        JOptionPane.showMessageDialog(this, "Invalid height: " + heightField.getText(), "Error", JOptionPane.ERROR_MESSAGE);
        return null;
    }
    long clock = System.currentTimeMillis();
    SOM som = new SOM(dataset[datasetIndex], width, height);
    System.out.format("SOM clusterings %d samples in %dms\n", dataset[datasetIndex].length, System.currentTimeMillis() - clock);
    JPanel pane = new JPanel(new GridLayout(2, 3));
    PlotCanvas plot = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
    plot.grid(som.map());
    plot.setTitle("SOM Grid");
    pane.add(plot);
    int[] membership = som.partition(clusterNumber);
    int[] clusterSize = new int[clusterNumber];
    for (int i = 0; i < membership.length; i++) {
        clusterSize[membership[i]]++;
    }
    plot = ScatterPlot.plot(dataset[datasetIndex], pointLegend);
    plot.setTitle("Hierarchical Clustering");
    for (int k = 0; k < clusterNumber; k++) {
        double[][] cluster = new double[clusterSize[k]][];
        for (int i = 0, j = 0; i < dataset[datasetIndex].length; i++) {
            if (membership[i] == k) {
                cluster[j++] = dataset[datasetIndex][i];
            }
        }
        plot.points(cluster, pointLegend, Palette.COLORS[k % Palette.COLORS.length]);
    }
    pane.add(plot);
    double[][] umatrix = som.umatrix();
    double[] umatrix1 = new double[umatrix.length * umatrix[0].length];
    for (int i = 0, k = 0; i < umatrix.length; i++) {
        for (int j = 0; j < umatrix[i].length; j++, k++) umatrix1[k] = umatrix[i][j];
    }
    plot = Histogram.plot(null, umatrix1, 20);
    plot.setTitle("U-Matrix Histogram");
    pane.add(plot);
    GaussianMixture mixture = new GaussianMixture(umatrix1);
    double w = (Math.max(umatrix1) - Math.min(umatrix1)) / 24;
    double[][] p = new double[50][2];
    for (int i = 0; i < p.length; i++) {
        p[i][0] = Math.min(umatrix1) + i * w;
        p[i][1] = mixture.p(p[i][0]) * w;
    }
    plot.line(p, Color.RED);
    plot = Hexmap.plot(umatrix, Palette.jet(256));
    plot.setTitle("U-Matrix");
    pane.add(plot);
    /*
        double[][] x = new double[height][width];
        for (int i = 0; i < height; i++) {
            for (int j = 0; j < width; j++) {
                x[i][j] = som.getMap()[i][j][0];
            }
        }
        plot = PlotCanvas.hexmap(x, Palette.jet(256));
        plot.setTitle("X");
        pane.add(plot);

        double[][] y = new double[height][width];
        for (int i = 0; i < height; i++) {
            for (int j = 0; j < width; j++) {
                y[i][j] = som.getMap()[i][j][1];
            }
        }
        plot = PlotCanvas.hexmap(y, Palette.jet(256));
        plot.setTitle("Y");
        pane.add(plot);
*/
    return pane;
}

Example 5 with PlotCanvas

use of smile.plot.PlotCanvas in project smile by haifengl.

the class PCADemo method learn.

@Override
public JComponent learn() {
    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;
    }
    boolean cor = corBox.getSelectedIndex() != 0;
    long clock = System.currentTimeMillis();
    PCA pca = new PCA(data, cor);
    System.out.format("Learn PCA from %d samples in %dms\n", data.length, System.currentTimeMillis() - clock);
    JPanel pane = new JPanel(new GridLayout(1, 2));
    PlotCanvas scree = PlotCanvas.screeplot(pca);
    scree.setTitle("Variance");
    pane.add(scree);
    pca.setProjection(3);
    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("Scatter Plot");
    pane.add(plot);
    return pane;
}