Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4254#discussion_r23756564
--- Diff: docs/mllib-clustering-pic.md ---
@@ -0,0 +1,30 @@
+---
+layout: global
+title: Clustering - MLlib
+displayTitle: <a href="mllib-guide.html">MLlib</a> - Power Iteration
Clustering
+---
+
+* Table of contents
+{:toc}
+
+
+## Power Iteration Clustering
+
+Power iteration clustering is a scalable and efficient algorithm for
clustering points given pointwise mutual affinity values. Internally the
algorithm:
+
+* computes the Gaussian distance between all pairs of points and
represents these distances in an Affinity Matrix
--- End diff --
Doc needs update. We assume that the input is a graph with precomputed
pairwise similarities/distances.
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