Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/11844#discussion_r58233431
--- Diff: docs/ml-clustering.md ---
@@ -104,4 +104,31 @@ Refer to the [Java API
docs](api/java/org/apache/spark/ml/clustering/LDA.html) f
{% include_example java/org/apache/spark/examples/ml/JavaLDAExample.java %}
</div>
-</div>
\ No newline at end of file
+</div>
+
+## Bisecting k-means
+
+Bisecting K-means can often be much faster than regular K-means, but it
will generally produce a different clustering.
+
+Bisecting k-means is a kind of [hierarchical
clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering) in the
fashion of
+division: all observations start in one cluster, and splits are performed
recursively as one moves down the hierarchy.
--- End diff --
Exchange the two lines above, it's better to give the overview of Bisecting
k-means firstly.
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