Examples of KMeansModel

Examples of org.apache.spark.mllib.clustering.KMeansModel

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        System.getenv("SPARK_HOME"), JavaSparkContext.jarOfClass(JavaKMeans.class));
    JavaRDD<String> lines = sc.textFile(inputFile);

    JavaRDD<Vector> points = lines.map(new ParsePoint());

    KMeansModel model = KMeans.train(points.rdd(), k, iterations, runs, KMeans.K_MEANS_PARALLEL());

    System.out.println("Cluster centers:");
    for (Vector center : model.clusterCenters()) {
      System.out.println(" " + center);
    }
    double cost = model.computeCost(points.rdd());
    System.out.println("Cost: " + cost);

    System.exit(0);
  }
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Examples of org.apache.spark.mllib.clustering.KMeansModel

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    JavaSparkContext sc = new JavaSparkContext(sparkConf);
    JavaRDD<String> lines = sc.textFile(inputFile);

    JavaRDD<Vector> points = lines.map(new ParsePoint());

    KMeansModel model = KMeans.train(points.rdd(), k, iterations, runs, KMeans.K_MEANS_PARALLEL());

    System.out.println("Cluster centers:");
    for (Vector center : model.clusterCenters()) {
      System.out.println(" " + center);
    }
    double cost = model.computeCost(points.rdd());
    System.out.println("Cost: " + cost);

    sc.stop();
  }
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