I'm trying to compute a dissimilarity matrix based on a big data frame. As my features are mixed with categorical and numerical features I need to use the daisy function in the cluster package.
Any idea how I can run this in parallel cores? Below an example on the iris dataset:
require(cluster)
d <- daisy(iris)