I have all the data required for KMeans in a dataset<Row> in memory

Standard approach to load this data from a file is
spark.read().format("libsvm").load(filename)

where the file has data in the format
0 1:0.0 2:0.0 3:0.0


How do i this from an in-memory dataset already present.
Any suggestions ?

-Tony

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