Github user dongjoon-hyun commented on a diff in the pull request:
https://github.com/apache/spark/pull/23072#discussion_r239257840
--- Diff: docs/ml-clustering.md ---
@@ -265,3 +265,44 @@ Refer to the [R API
docs](api/R/spark.gaussianMixture.html) for more details.
</div>
</div>
+
+## Power Iteration Clustering (PIC)
+
+Power Iteration Clustering (PIC) is a scalable graph clustering algorithm
+developed by <a
href=http://www.cs.cmu.edu/~frank/papers/icml2010-pic-final.pdf>Lin and
Cohen</a>.
+From the abstract: PIC finds a very low-dimensional embedding of a dataset
+using truncated power iteration on a normalized pair-wise similarity
matrix of the data.
+
+`spark.ml`'s PowerIterationClustering implementation takes the following
parameters:
+
+* `k`: the number of clusters to create
+* `initMode`: param for the initialization algorithm
+* `maxIter`: param for maximum number of iterations
+* `srcCol`: param for the name of the input column for source vertex IDs
+* `dstCol`: name of the input column for destination vertex IDs
+* `weightCol`: Param for weight column name
+
+**Examples**
+
+<div class="codetabs">
+
+<div data-lang="scala" markdown="1">
+Refer to the [Scala API
docs](api/scala/index.html#org.apache.spark.ml.clustering.PowerIterationClustering)
for more details.
+
+{% include_example
scala/org/apache/spark/examples/ml/PowerIterationClusteringExample.scala %}
+</div>
+
+<div data-lang="java" markdown="1">
+Refer to the [Java API
docs](api/java/org/apache/spark/ml/clustering/PowerIterationClustering.html)
for more details.
+
+{% include_example
java/org/apache/spark/examples/ml/JavaPowerIterationClusteringExample.java %}
+</div>
+
+<div data-lang="r" markdown="1">
--- End diff --
Thanks. Got it.
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