Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/88#discussion_r10724717
--- Diff: docs/mllib-linear-algebra.md ---
@@ -59,3 +59,17 @@ val = decomposed.S.data
println("singular values = " + s.toArray.mkString)
{% endhighlight %}
+
+
+# Principal Component Analysis
+
+Computes the top k principal component coefficients for the m-by-n data
matrix X.
+Rows of X correspond to observations and columns correspond to variables.
+The coefficient matrix is n-by-k. Each column of the return matrix
contains coefficients
+for one principal component, and the columns are in descending
+order of component variance.
+This function centers the data and uses the
+singular value decomposition (SVD) algorithm.
--- End diff --
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