You can't obtain that from the model. But you can always ask the model to
predict the cluster center for your vectors by calling predict().
Regards
Sab
On Wed, Sep 23, 2015 at 7:24 PM, Tapan Sharma <tapan.sha...@gmail.com>
wrote:
> 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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