Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/10244#discussion_r47711901
--- Diff: docs/ml-clustering.md ---
@@ -11,6 +11,79 @@ In this section, we introduce the pipeline API for
[clustering in mllib](mllib-c
* This will become a table of contents (this text will be scraped).
{:toc}
+## K-means
+
+[k-means](http://en.wikipedia.org/wiki/K-means_clustering) is one of the
+most commonly used clustering algorithms that clusters the data points
into a
+predefined number of clusters. The MLlib implementation includes a
parallelized
+variant of the [k-means++](http://en.wikipedia.org/wiki/K-means%2B%2B)
method
+called
[kmeans||](http://theory.stanford.edu/~sergei/papers/vldb12-kmpar.pdf).
+
+`KMeans` is implemented as an `Estimator` and generates a `KMeansModel` as
the base model.
+
+### Input Columns
+
+<table class="table">
+ <thead>
+ <tr>
+ <th align="left">Param name</th>
+ <th align="left">Type(s)</th>
+ <th align="left">Default</th>
+ <th align="left">Description</th>
+ </tr>
+ </thead>
+ <tbody>
+ <tr>
+ <td>featuresCol</td>
+ <td>Vector</td>
+ <td>"features"</td>
+ <td>Feature vector</td>
+ </tr>
+ </tbody>
+</table>
+
+### Output Columns
+
+<table class="table">
+ <thead>
+ <tr>
+ <th align="left">Param name</th>
+ <th align="left">Type(s)</th>
+ <th align="left">Default</th>
+ <th align="left">Description</th>
+ <th align="left">Notes</th>
--- End diff --
Remove the unused "Notes" column
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