Example usage for org.apache.commons.math.random RandomGenerator setSeed

Introduction

In this page you can find the example usage for org.apache.commons.math.random RandomGenerator setSeed.

Prototype

void setSeed(long seed);

Source Link

Document

Sets the seed of the underlying random number generator using a long seed.

Usage

From source file:datafu.pig.hash.lsh.interfaces.LSHCreator.java

public RandomGenerator createGenerator() {
    RandomGenerator rg = new JDKRandomGenerator();
    rg.setSeed(seed);
    return rg;
}

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From source file:lfsom.visualization.clustering.LFSKMeans.java

/** Take random points from the input data as centroids. */
private void initClustersRandomlyOnInstances() {
    ArrayList<double[]> usedInstances = new ArrayList<double[]>();
    RandomGenerator rg = new JDKRandomGenerator();
    // FIXME: this is for testing purposes only
    rg.setSeed(RANDOM_SEED);
    // for each cluster
    for (int clusterIndex = 0; clusterIndex < k; clusterIndex++) {
        // draw a random input
        double[] centroid = data[rg.nextInt(data.length - 1)].clone();
        while (usedInstances.contains(centroid)) {
            centroid = data[rg.nextInt(data.length - 1)].clone();
        }// w  w  w  .ja v a  2  s  .c  om
        usedInstances.add(centroid);
        clusters[clusterIndex] = new LFSCluster(centroid);
    }
}

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From source file:lfsom.visualization.clustering.LFSKMeans.java

/**
 * Calculate random centroids for each cluster.
 *///from  w ww. j  a  v a  2 s. c  o m
private void initClustersRandomly() {
    RandomGenerator rg = new JDKRandomGenerator();
    // FIXME: this is for testing purposes only
    rg.setSeed(RANDOM_SEED);
    // for each cluster
    for (int clusterIndex = 0; clusterIndex < k; clusterIndex++) {
        // for each of its attributes
        double[] centroid = new double[numberOfAttributes];
        for (int attributeIndex = 0; attributeIndex < numberOfAttributes; attributeIndex++) {
            centroid[attributeIndex] = differences[attributeIndex] * rg.nextDouble()
                    + minValues[attributeIndex];
        }
        clusters[clusterIndex] = new LFSCluster(centroid);
    }
    System.out.println("initial centroids: ");
    // printCentroids();
}

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