I would like to reduce the dimensionality of my data before running kmeans. The problem I'm having is that both RowMatrix.computePrincipalComponents() and RowMatrix.computeSVD() return a DenseMatrix whereas KMeans.train() requires an RDD[Vector]. Does MLlib provide a way to do this conversion?
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