Hi, the target functions of k-means clusterung and of normal mixture model clustering (in library mclust) should work with weighted data points as well. This is, however, only a theoretical suggestion, because as far as I know, it is not implemented in R, and the R-functions for kmeans and model based clustering call C and fortran code, which I think is not too easy to adapt to your problem. If I would be in your situation, I would presumably write new code for a k-means algorithm (there are some, which are very easy to implement) with weighted data.
Best, Christian On Wed, 22 Oct 2003, vishal goyal wrote: > Hi, > > I have a data set(say 2-d demands of a product (say flow-rate vs > concentration)) and with each demand is the weightage (like a probability) > of that demand occuring. Is there a way to cluster this demand-data > (deterministic or probabilistic(if possible)) which also incorporates the > weights (just multiplying distances with weights gives poor and mixed > clusters) while clustering (Something like a Facility Location problem). > I would appreciate any advice. > > Regards > Vishal Goyal > > > > > > > > > -------------------------------------------------------------------------- > "Simplicity is the ultimate sophistication" > --------------------------------------------------------------------------- > > Vishal Goyal, Graduate Student > Department of Chemical and Biochemical Engineering > Rutgers - The State University of New Jersey > 98 Brett Road, Piscataway, NJ 08854 > tel: 732-445-7061 (O) > email: [EMAIL PROTECTED] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > *********************************************************************** Christian Hennig Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg [EMAIL PROTECTED], http://www.math.uni-hamburg.de/home/hennig/ ####################################################################### ich empfehle www.boag-online.de ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
