Github user sethah commented on a diff in the pull request:
https://github.com/apache/spark/pull/11844#discussion_r62714781
--- Diff: docs/ml-clustering.md ---
@@ -104,4 +104,48 @@ 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 is a kind of [hierarchical
clustering](https://en.wikipedia.org/wiki/Hierarchical_clustering) using a
+divisive (or "top-down") approach: all observations start in one cluster,
and splits are performed recursively as one
+moves down the hierarchy.
+
+Bisecting K-means can often be much faster than regular K-means, but it
will generally produce a different clustering.
+
+`BisectingKMeans` is implemented as an `Estimator` and generates a
`BisectingKMeansModel` as the base model.
+
+The implementation in ML has the following parameters:
+
+* *k*: the desired number of leaf clusters (default: 4). The actual number
could be smaller if there are no divisible leaf clusters.
--- End diff --
@MLnick I hadn't seen your comment suggesting to add params. I'm not super
opposed to listing params, but I was leaning in favor of consistency between
docs. I agree we can discuss this as another issue.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
