Package de.lmu.ifi.dbs.elki.math.linearalgebra

Examples of de.lmu.ifi.dbs.elki.math.linearalgebra.AffineTransformation.addTranslation()

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    // Assuming that the data was normalized on [0:1], center it:
    double[] trans = new double[dim];
    for(int i = 0; i < dim; i++) {
      trans[i] = -.5;
    }
    proj.addTranslation(new Vector(trans));
    // mirror on the y axis, since the SVG coordinate system is screen
    // coordinates (y = down) and not mathematical coordinates (y = up)
    proj.addAxisReflection(2);
    // scale it up
    proj.addScaling(SCALE);
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    // translation vector
    double[] tv = new double[testdim];
    for(int i = 0; i < testdim; i++) {
      tv[i] = i + testdim;
    }
    t.addTranslation(new Vector(tv));

    Matrix tm2 = t.getTransformation();
    // Manually do the same changes to the matrix tm
    for(int i = 0; i < testdim; i++) {
      tm.set(i, testdim, i + testdim);
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    // Assuming that the data was normalized on [0:1], center it:
    double[] trans = new double[dim];
    for(int i = 0; i < dim; i++) {
      trans[i] = -.5;
    }
    proj.addTranslation(new Vector(trans));
    // mirror on the y axis, since the SVG coordinate system is screen
    // coordinates (y = down) and not mathematical coordinates (y = up)
    proj.addAxisReflection(2);
    // scale it up
    proj.addScaling(SCALE);
View Full Code Here
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    // translation vector
    double[] tv = new double[testdim];
    for(int i = 0; i < testdim; i++) {
      tv[i] = i + testdim;
    }
    t.addTranslation(new Vector(tv));

    Matrix tm2 = t.getTransformation();
    // Manually do the same changes to the matrix tm
    for(int i = 0; i < testdim; i++) {
      tm.set(i, testdim, i + testdim);
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