Distance metrics in KMeans

Is it possible to use other distance metrics than Euclidean (e.g. Tanimoto, Manhattan) with MLlib KMeans? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Distance-metrics-in-KMeans-tp24823.html Sent from the Apache Spark User List mailing list archive at

using existing R packages from SparkR

I am trying to use an existing R package in SparkR. I am trying to follow the example at https://amplab-extras.github.io/SparkR-pkg/ in the section "Using existing R packages". Here is the sample in ample extras -- generateSparse <- function(x) { # Use sparseMatrix function from the Matrix