You may be able to use linear programming. Check out this thread: http://tolstoy.newcastle.edu.au/~rking/R/help/05/11/16009.html
On 1/16/06, Aleš Žiberna <[EMAIL PROTECTED]> wrote: > Dear R users! > > I was wondering if there exists (in R) any general algorithm for finding > optimal partition (optimal allocation of n units into k groups or bins), > such as local search, genetic algorithm, tabu search, ... > > By general I mean such that would find an (approximately) optimal partition > based on some user specified criterion function, that would be evaluated on > the data and partition. > > It is especially essential that the algorithm does not require any unit > fitness values, only the value of criterion function (or fitness) for the > partition as a whole. > > Thanks for any replies! > > Best regards, > Ales Ziberna > > ______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
