Examples of org.apache.mahout.clustering.streaming.cluster.BallKMeans.cluster()

Package org.apache.mahout.clustering.streaming.cluster

Class org.apache.mahout.clustering.streaming.cluster.BallKMeans

Examples of org.apache.mahout.clustering.streaming.cluster.BallKMeans.cluster()

org.apache.mahout.clustering.streaming.cluster.BallKMeans.cluster()
Clusters the datapoints in the list doing either random seeding of the centroids or k-means++. @param datapoints the points to be clustered. @return an UpdatableSearcher with the resulting clusters.

    float testProbability = conf.getFloat(StreamingKMeansDriver.TEST_PROBABILITY, 0.1f);
    int numRuns = conf.getInt(StreamingKMeansDriver.NUM_BALLKMEANS_RUNS, 3);


    BallKMeans clusterer = new BallKMeans(StreamingKMeansUtilsMR.searcherFromConfiguration(conf),
        numClusters, maxNumIterations, trimFraction, kMeansPlusPlusInit, correctWeights, testProbability, numRuns);
    return clusterer.cluster(centroids);
  }
}

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    float testProbability = conf.getFloat(StreamingKMeansDriver.TEST_PROBABILITY, 0.1f);
    int numRuns = conf.getInt(StreamingKMeansDriver.NUM_BALLKMEANS_RUNS, 3);


    BallKMeans ballKMeansCluster = new BallKMeans(StreamingKMeansUtilsMR.searcherFromConfiguration(conf),
        numClusters, maxNumIterations, trimFraction, kMeansPlusPlusInit, correctWeights, testProbability, numRuns);
    return ballKMeansCluster.cluster(centroids);
  }
}

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