Examples of AsymmetricSampledNormalDistribution

org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm. Uses a Normal Distribution to sample the prior model values. Model values have a vector standard deviation, allowing assymetrical regions to be covered by a model.

Examples of org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution

    generateResults();
    new Display2dASNDirichlet();
  }


  private static void generateResults() {
    DisplayDirichlet.generateResults(new AsymmetricSampledNormalDistribution());
  }

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