br.unicamp.ic.recod.gpsi.measures.gpsiMeanAndStandardDeviationDistanceScore.java Source code

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Here is the source code for br.unicamp.ic.recod.gpsi.measures.gpsiMeanAndStandardDeviationDistanceScore.java

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package br.unicamp.ic.recod.gpsi.measures;

import org.apache.commons.math3.ml.distance.EuclideanDistance;
import org.apache.commons.math3.stat.descriptive.moment.Mean;
import org.apache.commons.math3.stat.descriptive.moment.VectorialMean;

/**
 *
 * @author juan
 */
public class gpsiMeanAndStandardDeviationDistanceScore implements gpsiSampleSeparationScore {

    @Override
    public double score(double[][][] input) {

        double[][] means = new double[2][];
        double[] sDistances;
        VectorialMean mean;
        Mean mean_ = new Mean();
        EuclideanDistance distance = new EuclideanDistance();

        int i, j;
        double d = 0;

        for (i = 0; i < 2; i++) {
            mean = new VectorialMean(input[i][0].length);
            for (j = 0; j < input[i].length; j++)
                mean.increment(input[i][j]);
            means[i] = mean.getResult();
        }

        d = distance.compute(means[0], means[1]);

        double deviations = 0.0;

        for (i = 0; i < 2; i++) {
            sDistances = new double[input[i].length];
            for (j = 0; j < input[i].length; j++)
                sDistances[j] = distance.compute(means[i], input[i][j]);
            deviations += mean_.evaluate(sDistances);
        }

        return d / deviations;

    }

}