Github user atalwalkar commented on a diff in the pull request:
https://github.com/apache/spark/pull/2070#discussion_r16514920
--- Diff: docs/mllib-dimensionality-reduction.md ---
@@ -11,7 +11,7 @@ displayTitle: <a href="mllib-guide.html">MLlib</a> -
Dimensionality Reduction
of reducing the number of variables under consideration.
It can be used to extract latent features from raw and noisy features
or compress data while maintaining the structure.
-MLlib provides support for dimensionality reduction on tall-and-skinny
matrices.
+MLlib provides support for dimensionality reduction on the RowMatrix class.
--- End diff --
Could you give some high-level guidance on the scalability of our
approaches / what sorts of matrices and values of k on which its appropriate to
run MLlib's SVD?
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