Hi guys,

I've been using the kmeans and hclust functions for some time now and
was wondering if I could specify a custom metric when passing my data
frame into hclust as a distance matrix. Actually, kmeans doesn't even
take a distance matrix; it takes the data frame directly. I was
wondering if there's a way or if there's a package that lets you
create distance matrices from non-standard metrics, e.g.,
KL-divergence (which is not really one), but metrics used often in
information theory. I'm assuming kmeans just assumes the euclidean
metric, but it would be nice to customize that as well. Is stuff out
there, or would I have create my own?

Thanks,
Vivek

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to