Github user viirya commented on a diff in the pull request:
https://github.com/apache/spark/pull/4301#discussion_r23976526
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/PowerIterationClustering.scala
---
@@ -149,6 +165,18 @@ private[clustering] object PowerIterationClustering
extends Logging {
}
/**
+ * Generates the degree vector as the vertex properties (v0) to start
power iteration.
+ *
+ * @param g a graph representing the normalized affinity matrix (W)
+ * @return a graph with edges representing W and vertices representing
the degree vector
+ */
+ def initDegreeVector(g: Graph[Double, Double]): Graph[Double, Double] = {
--- End diff --
Does it need to be? `randomInit` is not private too. And they are included
in a private object `PowerIterationClustering`.
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