Example usage for org.apache.commons.math3.linear RealVector getEntry

Introduction

In this page you can find the example usage for org.apache.commons.math3.linear RealVector getEntry.

Prototype

public abstract double getEntry(int index) throws OutOfRangeException;

Source Link

Document

Return the entry at the specified index.

Usage

From source file:org.lambda3.indra.core.function.CityBlockRelatednessFunction.java

@Override
public double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/*from   www  .  j  a  va  2s .  com*/

    double sum = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        sum += Math.abs((r1.getEntry(i) - r2.getEntry(i)));
    }

    double result = 1 / (1 + (sum == Double.NaN ? 0 : sum));
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.function.DiceRelatednessFunction.java

@Override
public double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/*from w ww .j  av a 2  s.c o  m*/

    double min = 0.0;
    double sum = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        if (r1.getEntry(i) > r2.getEntry(i)) {
            min += r2.getEntry(i);
        } else {
            min += r1.getEntry(i);
        }
        sum += r1.getEntry(i) + r2.getEntry(i);
    }

    if (sum == 0) {
        return 0;
    }

    double result = 2 * min / sum;
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.function.Jaccard2RelatednessFunction.java

@Override
public double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/*from  w ww. j  a va  2 s. c om*/

    double min = 0.0;
    double max = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        if (r1.getEntry(i) > r2.getEntry(i)) {
            min += r2.getEntry(i);
            max += r1.getEntry(i);
        } else {
            min += r1.getEntry(i);
            max += r2.getEntry(i);
        }
    }

    if (max == 0) {
        return 0;
    }

    return Math.abs(min / max);
}

From source file:org.lambda3.indra.core.function.JensenShannonRelatednessFunction.java

@Override
public double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/*  w  w  w.j a  v  a  2s .  c  om*/

    double divergence = 0.0;
    double avr = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        avr = (r1.getEntry(i) + r2.getEntry(i)) / 2;

        if (r1.getEntry(i) > 0.0 && avr > 0.0) {
            divergence += r1.getEntry(i) * Math.log(r1.getEntry(i) / avr);
        }
    }
    for (int i = 0; i < r2.getDimension(); ++i) {
        avr = (r1.getEntry(i) + r2.getEntry(i)) / 2;

        if (r2.getEntry(i) > 0.0 && avr > 0.0) {
            divergence += r1.getEntry(i) * Math.log(r2.getEntry(i) / avr);
        }
    }

    double result = 1 - (divergence / (2 * Math.sqrt(2 * Math.log(2))));
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.impl.AlphaSkewClient.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/*from   ww w  .ja v a  2s .  co m*/

    double alpha = 0.99;
    double divergence = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        if (r1.getEntry(i) > 0.0 && r2.getEntry(i) > 0.0) {
            divergence += r1.getEntry(i)
                    * Math.log(r1.getEntry(i) / ((1 - alpha) * r1.getEntry(i) + alpha * r2.getEntry(i)));
        }
    }

    double result = (1 - (divergence / Math.sqrt(2 * Math.log(2))));
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.impl.ChebyshevClient.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }//from  w w w  .j ava 2  s.  com

    double max = 0;
    double tmp;

    for (int i = 0; i < r1.getDimension(); ++i) {
        tmp = Math.abs((r1.getEntry(i) - r2.getEntry(i)));
        max = (tmp > max ? tmp : max);
    }

    double result = 1 / (1 + (max == Double.NaN ? 0 : max));
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.impl.CityBlockClient.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }//ww w.  j  a  v  a  2  s  .com

    double sum = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        sum += Math.abs((r1.getEntry(i) - r2.getEntry(i)));
    }

    double result = 1 / (1 + (sum == Double.NaN ? 0 : sum));
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.impl.DiceClient.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }//w w  w.  j  av a2s.  c om

    double min = 0.0;
    double sum = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        if (r1.getEntry(i) > r2.getEntry(i)) {
            min += r2.getEntry(i);
        } else {
            min += r1.getEntry(i);
        }
        sum += r1.getEntry(i) + r2.getEntry(i);
    }

    if (sum == 0) {
        return 0;
    }

    double result = 2 * min / sum;
    return Math.abs(result);
}

From source file:org.lambda3.indra.core.impl.Jaccard2Client.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }//w  w  w . j av  a  2 s. c  o  m

    double min = 0.0;
    double max = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        if (r1.getEntry(i) > r2.getEntry(i)) {
            min += r2.getEntry(i);
            max += r1.getEntry(i);
        } else {
            min += r1.getEntry(i);
            max += r2.getEntry(i);
        }
    }

    if (max == 0) {
        return 0;
    }

    return Math.abs(min / max);
}

From source file:org.lambda3.indra.core.impl.JensenShannonClient.java

@Override
protected double sim(RealVector r1, RealVector r2, boolean sparse) {
    if (r1.getDimension() != r2.getDimension()) {
        return 0;
    }/* ww w.  jav  a 2  s.co m*/

    double divergence = 0.0;
    double avr = 0.0;

    for (int i = 0; i < r1.getDimension(); ++i) {
        avr = (r1.getEntry(i) + r2.getEntry(i)) / 2;

        if (r1.getEntry(i) > 0.0 && avr > 0.0) {
            divergence += r1.getEntry(i) * Math.log(r1.getEntry(i) / avr);
        }
    }
    for (int i = 0; i < r2.getDimension(); ++i) {
        avr = (r1.getEntry(i) + r2.getEntry(i)) / 2;

        if (r2.getEntry(i) > 0.0 && avr > 0.0) {
            divergence += r1.getEntry(i) * Math.log(r2.getEntry(i) / avr);
        }
    }

    double result = 1 - (divergence / (2 * Math.sqrt(2 * Math.log(2))));
    return Math.abs(result);
}