Package org.apache.mahout.clustering.dirichlet.models

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

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    generateSamples(40, 1, 1, 3);
    generateSamples(30, 1, 0, 0.1);
    generateSamples(30, 0, 1, 0.1);

    DirichletClusterer dc = new DirichletClusterer(sampleData,
                                                   new NormalModelDistribution(new VectorWritable(new DenseVector(2))),
                                                   1.0,
                                                   10,
                                                   1,
                                                   0);
    List<Cluster[]> result = dc.cluster(30);
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    generateSamples(40, 1, 1, 3, 3);
    generateSamples(30, 1, 0, 0.1, 3);
    generateSamples(30, 0, 1, 0.1, 3);

    DirichletClusterer dc = new DirichletClusterer(sampleData,
                                                   new NormalModelDistribution(new VectorWritable(new DenseVector(3))),
                                                   1.0,
                                                   10,
                                                   1,
                                                   0);
    List<Cluster[]> result = dc.cluster(30);
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  /** Test the basic Mapper */
  @Test
  public void testMapper() throws Exception {
    generateSamples(10, 0, 0, 1);
    DirichletState state = new DirichletState(new NormalModelDistribution(new VectorWritable(new DenseVector(2))), 5, 1);
    DirichletMapper mapper = new DirichletMapper();
    mapper.setup(state);

    RecordWriter<Text, VectorWritable> writer = new DummyRecordWriter<Text, VectorWritable>();
    Mapper<WritableComparable<?>, VectorWritable, Text, VectorWritable>.Context context = DummyRecordWriter.build(mapper,
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    generateResults();
    new DisplayNDirichlet();
  }

  static void generateResults() {
    DisplayDirichlet.generateResults(new NormalModelDistribution());
  }
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    }
    new DisplayASNOutputState();
  }

  static void generateResults() {
    DisplayDirichlet.generateResults(new NormalModelDistribution());
  }
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    }
    new DisplayOutputState();
  }

  static void generateResults() {
    DisplayDirichlet.generateResults(new NormalModelDistribution());
  }
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    generateSamples(40, 1, 1, 3);
    generateSamples(30, 1, 0, 0.1);
    generateSamples(30, 0, 1, 0.1);

    DirichletClusterer<Vector> dc = new DirichletClusterer<Vector>(sampleData,
        new NormalModelDistribution(), 1.0, 10, 1, 0);
    List<Model<Vector>[]> result = dc.cluster(30);
    printResults(result, 2);
    assertNotNull(result);
  }
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    generateSamples(400, 1, 1, 3);
    generateSamples(300, 1, 0, 0.1);
    generateSamples(300, 0, 1, 0.1);

    DirichletClusterer<Vector> dc = new DirichletClusterer<Vector>(sampleData,
        new NormalModelDistribution(), 1.0, 10, 1, 0);
    List<Model<Vector>[]> result = dc.cluster(30);
    printResults(result, 20);
    assertNotNull(result);
  }
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    generateSamples(4000, 1, 1, 3);
    generateSamples(3000, 1, 0, 0.1);
    generateSamples(3000, 0, 1, 0.1);

    DirichletClusterer<Vector> dc = new DirichletClusterer<Vector>(sampleData,
        new NormalModelDistribution(), 1.0, 10, 1, 0);
    List<Model<Vector>[]> result = dc.cluster(30);
    printResults(result, 200);
    assertNotNull(result);
  }
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   * @throws Exception
   */
  public void testMapper() throws Exception {
    generateSamples(10, 0, 0, 1);
    DirichletState<Vector> state = new DirichletState<Vector>(
        new NormalModelDistribution(), 5, 1, 0, 0);
    DirichletMapper mapper = new DirichletMapper();
    mapper.configure(state);

    DummyOutputCollector<Text, Text> collector = new DummyOutputCollector<Text, Text>();
    for (Vector v : sampleData)
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Related Classes of org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution

  • org.apache.mahout.clustering.canopy.DisplayCanopy
  • org.apache.mahout.clustering.dirichlet.DisplayASNOutputState
  • org.apache.mahout.clustering.dirichlet.DisplayNDirichlet
  • org.apache.mahout.clustering.dirichlet.DisplayOutputState
  • org.apache.mahout.clustering.dirichlet.TestDirichletClustering
  • org.apache.mahout.clustering.dirichlet.TestMapReduce
  • org.apache.mahout.clustering.meanshift.DisplayMeanShift
  • org.apache.mahout.math.Vector
  • org.apache.mahout.matrix.DenseVector
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