Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4304#discussion_r24511362
--- Diff: docs/mllib-dimensionality-reduction.md ---
@@ -157,6 +157,23 @@ val pc: Matrix = mat.computePrincipalComponents(10) //
Principal components are
// Project the rows to the linear space spanned by the top 10 principal
components.
val projected: RowMatrix = mat.multiply(pc)
{% endhighlight %}
+
+The following code demonstrates how to compute principal components on a
`Vector`
--- End diff --
`a Vector` -> `source vectors`
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