Package org.apache.mahout.utils.clustering

Examples of org.apache.mahout.utils.clustering.ClusterDumper$TermIndexWeight

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        true);
    // now run the KMeans job
    KMeansDriver.run(sData.getRowPath(), new Path(output, "clusters-0"),
        output, measure, 0.001, 10, true, true);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, 10), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(termDictionary);
  }
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    log.info("Running FuzzyKMeans");
    FuzzyKMeansDriver.run(directoryContainingConvertedInput, new Path(output,
        Cluster.INITIAL_CLUSTERS_DIR), output, measure, convergenceDelta,
        maxIterations, fuzziness, true, true, 0.0, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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        directoryContainingConvertedInput, clusters, k, measure);
    log.info("Running KMeans");
    KMeansDriver.run(conf, directoryContainingConvertedInput, clusters, output,
        measure, convergenceDelta, maxIterations, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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    log.info("Running KMeans");
    KMeansDriver.run(conf, directoryContainingConvertedInput, new Path(output,
        Cluster.INITIAL_CLUSTERS_DIR), output, measure, convergenceDelta,
        maxIterations, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(finalClusterPath(conf,
        output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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    InputDriver.runJob(input, directoryContainingConvertedInput);
    MeanShiftCanopyDriver.run(conf, directoryContainingConvertedInput, output,
        measure, kernelProfile, t1, t2, convergenceDelta, maxIterations, true,
        true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
        "clusters-" + maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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                        true,
                        emitMostLikely,
                        threshold,
                        false);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(new Path(output, "clusters-" + maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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    InputDriver.runJob(input, directoryContainingConvertedInput,
        "org.apache.mahout.math.RandomAccessSparseVector");
    CanopyDriver.run(new Configuration(), directoryContainingConvertedInput,
        output, measure, t1, t2, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper = new ClusterDumper(new Path(output,
        "clusters-0"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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    this.maxLabels = maxLabels;
    init();
  }

  private void init() throws IOException {
    ClusterDumper clusterDumper = new ClusterDumper(seqFileDir, pointsDir);
    this.clusterIdToPoints = clusterDumper.getClusterIdToPoints();
  }
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      InstantiationException, IllegalAccessException, InterruptedException, ClassNotFoundException {
    Path directoryContainingConvertedInput = new Path(output, DIRECTORY_CONTAINING_CONVERTED_INPUT);
    InputDriver.runJob(input, directoryContainingConvertedInput, "org.apache.mahout.math.RandomAccessSparseVector");
    CanopyDriver.run(new Configuration(), directoryContainingConvertedInput, output, measure, t1, t2, true, false);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(new Path(output, "clusters-0"), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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                     convergenceDelta,
                     maxIterations,
                     true,
                     false);
    // run ClusterDumper
    ClusterDumper clusterDumper =
        new ClusterDumper(finalClusterPath(conf, output, maxIterations), new Path(output, "clusteredPoints"));
    clusterDumper.printClusters(null);
  }
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Related Classes of org.apache.mahout.utils.clustering.ClusterDumper$TermIndexWeight

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  • org.apache.commons.cli2.commandline.Parser
  • org.apache.commons.cli2.Group
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