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

Examples of de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator

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  }

  private double[] run(double[] data, double[] params) {
    FittingFunction func = new GaussianFittingFunction();
    boolean[] dofit = { true, true, true };
    KernelDensityEstimator de = new KernelDensityEstimator(data, GaussianKernelDensityFunction.KERNEL);
    LevenbergMarquardtMethod fit = new LevenbergMarquardtMethod(func, params, dofit, data, de.getDensity(), de.getVariance());
    // for(int i = 0; i < 100; i++) {
    // fit.iterate();
    // double[] ps = fit.getParams();
    // System.out.println("Mean: " + ps[0] + " Stddev: " + ps[1] + " Amp: " +
    // ps[2]+" Chi: "+fit.getChiSq());
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  }

  private double[] run(double[] data, double[] params) {
    FittingFunction func = new GaussianFittingFunction();
    boolean[] dofit = { true, true, true };
    KernelDensityEstimator de = new KernelDensityEstimator(data, GaussianKernelDensityFunction.KERNEL);
    LevenbergMarquardtMethod fit = new LevenbergMarquardtMethod(func, params, dofit, data, de.getDensity(), de.getVariance());
    // for(int i = 0; i < 100; i++) {
    // fit.iterate();
    // double[] ps = fit.getParams();
    // System.out.println("Mean: " + ps[0] + " Stddev: " + ps[1] + " Amp: " +
    // ps[2]+" Chi: "+fit.getChiSq());
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Related Classes of de.lmu.ifi.dbs.elki.math.statistics.KernelDensityEstimator

  • de.lmu.ifi.dbs.elki.math.TestKernelDensityFitting
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