Dear Spark User List, I'm fairly new to Spark, trying to use it for multi-dimensional clustering (using the k-means clustering from MLib). However, based on the examples the clustering seems to work only for a single dimension (KMeans.train() accepts an RDD[Vector], which is a vector of doubles - I have a list of array of doubles, eg. a list of n-dimensional coordinates).
Is there any way with which, given a list of arrays (or vectors) of doubles, I can get out the list of cluster centres (as a list of n-dimensional coordinates) in Spark? I'm using Scala. Thanks in advance, Attila
