Parallel distance Matrix in R

Question

currently I\'m using the build in function dist to calculate my distance matrix in R.

dist(featureVector,method=\"manhattan\")

This is curr

Answer 1

The R package amap provides robust and parallelized functions for Clustering and Principal Component Analysis. Among these functions, Dist method offers what you are looking for: computes and returns the distance matrix in a parallel manner.

Dist(x, method = "euclidean", nbproc = 8)

The code above compute euclidean distance with 8 threads.