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docs/mllib-dimensionality-reduction.md
@@ -55,7 +55,7 @@ $O(n^2 k)$ time on the driver.
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compute $(A^T A)$'s top eigenvalues and eigenvectors on the driver node. This requires $O(k)$
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passes, $O(n)$ storage on each executor, and $O(n k)$ storage on the driver.
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-## SVD Example
+### SVD Example
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MLlib provides SVD functionality to row-oriented matrices, provided in the
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<a href="mllib-basics.html#rowmatrix">RowMatrix</a> class.
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