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

Examples of de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

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      stddev = Double.parseDouble(stddevstr);
    }

    // *** New normal distribution generator
    Random random = cluster.getNewRandomGenerator();
    Distribution generator = new NormalDistribution(mean, stddev, random);
    cluster.addGenerator(generator);

    // TODO: check for unknown attributes.
    for(Node child : new XMLNodeIterator(cur.getFirstChild())) {
      if(child.getNodeType() == Node.ELEMENT_NODE) {
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        double lensq = 0.0;
        int norm = 0;
        for(int i = 0; i < dim; i++) {
          Distribution dist = gen.getDistribution(i);
          if(dist instanceof NormalDistribution) {
            NormalDistribution d = (NormalDistribution) dist;
            double delta = (tv.get(i) - d.getMean()) / d.getStddev();
            lensq += delta * delta;
            norm += 1;
          }
        }
        if(norm > 0) {
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Related Classes of de.lmu.ifi.dbs.elki.math.statistics.distribution.NormalDistribution

  • de.lmu.ifi.dbs.elki.algorithm.outlier.trivial.TrivialGeneratedOutlier
  • de.lmu.ifi.dbs.elki.datasource.GeneratorXMLDatabaseConnection
  • java.util.Random
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