Feed KMeans algorithm with a row major matrix

[Jaonary Rabarisoa]

Dear All,

I'm trying to cluster data from native library code with Spark Kmeans||. In
my native library the data are represented as a matrix (row = number of
data and col = dimension). For efficiency reason, they are copied into a
one dimensional scala Array row major wise so after the computation I have
a RDD[Array[Double]] but the dimension of each array represents a set of
data instead of the data itself. I need to transfrom these array into
Array[Array[Double]] before running the KMeans|| algorithm.

How to do this efficiently ?



Best regards,