On Wed, Aug 10, 2011 at 12:07 PM, Ken Hutchison <vicvoncas...@gmail.com> wrote: > Hello all, > I am using the clustering functions in R in order to work with large > masses of binary time series data, however the clustering functions do not > seem able to fit this size of practical problem. Library 'hclust' is good > (though it may be sub par for this size of problem, thus doubly poor for > this application) in that I do not want to make assumptions about the number > of clusters present, also due to computational resources and time hclust is > not functionally good enough;
How big is your problem? If your distance (dissimilarity) fits in the memory of your machine, packages flashClust and fastCluster provide much faster implementations of hierarchical clustering than the stock R function hclust. Peter ______________________________________________ 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.
