Github user FlytxtRnD commented on a diff in the pull request:
https://github.com/apache/spark/pull/6737#discussion_r32103401
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/KMeans.scala ---
@@ -156,6 +156,26 @@ class KMeans private (
this
}
+ // Initial cluster centers can be provided as a KMeansModel object
rather than using the
+ // random or k-means|| initializationMode
+ private var initialModel: Option[KMeansModel] = None
+
+ /** Set the initial starting point, bypassing the random initialization
or k-means||
+ * The condition (model.k == this.k) must be met; failure will result
in an
+ * IllegalArgumentException.
+ */
+ def setInitialModel(model: KMeansModel): this.type = {
--- End diff --
@srowen Thanks for the comments. We followed this approach based on
@mengxr 's suggestion at
https://issues.apache.org/jira/browse/SPARK-8018?focusedCommentId=14571757&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-14571757.
Please have a look.
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