diff --git a/docs/mllib-pic-clustering.md b/docs/mllib-clustering-pic.md
similarity index 100%
rename from docs/mllib-pic-clustering.md
rename to docs/mllib-clustering-pic.md
diff --git a/docs/mllib-clustering.md b/docs/mllib-clustering.md
index c696ae9c8e8c8..432e6f29ae2a0 100644
--- a/docs/mllib-clustering.md
+++ b/docs/mllib-clustering.md
@@ -34,6 +34,9 @@ a given dataset, the algorithm returns the best clustering result).
 * *initializationSteps* determines the number of steps in the k-means\|\| algorithm.
 * *epsilon* determines the distance threshold within which we consider k-means to have converged. 
 
+[Power Iteration Clustering]{'mllib-clustering-pic.md'} that uses the Power Iteration method combined with KMeans clustering to 
+cluster points based on a Gaussian measure of the input data pairwise similarity.
+
 ### Examples
 
 <div class="codetabs">