Hi All,
In the KMeans example provided under mllib, it traverse the outcome of
KMeansModel to know the cluster centers like this:
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);
}
https://spark.apache.org/docs/1.3.0/mllib-clustering.html#k-means
<https://spark.apache.org/docs/1.3.0/mllib-clustering.html#k-means>
*How can I know the points contained in the particular cluster?*
Regards
Tapan
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