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Diffstat (limited to 'docs/mllib-dimensionality-reduction.md')
| -rw-r--r-- | docs/mllib-dimensionality-reduction.md | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/mllib-dimensionality-reduction.md b/docs/mllib-dimensionality-reduction.md index 9f2cf6d48e..21cb35b427 100644 --- a/docs/mllib-dimensionality-reduction.md +++ b/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 the <a href="mllib-basics.html#rowmatrix">RowMatrix</a> class. +MLlib provides support for dimensionality reduction on the <a href="mllib-data-types.html#rowmatrix">RowMatrix</a> class. ## Singular value decomposition (SVD) @@ -58,7 +58,7 @@ passes, $O(n)$ storage on each executor, and $O(n k)$ storage on the driver. ### SVD Example MLlib provides SVD functionality to row-oriented matrices, provided in the -<a href="mllib-basics.html#rowmatrix">RowMatrix</a> class. +<a href="mllib-data-types.html#rowmatrix">RowMatrix</a> class. <div class="codetabs"> <div data-lang="scala" markdown="1"> |