Dear Jay, Concerning the assessment of the number of clusters and the provision of estimated posterior probabilities of class membership, they can be undertaken with a model-based approach to clustering as adavocated, for example, in the books by McLachlan and Basford (1988, Dekker) and McLachlan and Peel (2000, Wiley).
Regards, Geoff McLachlan Quoting Jay Liu <[EMAIL PROTECTED]>: > Dear all, > > > > Apart from how to determine the number of clusters, another difficulty > > in clustering (I think) is how to predict cluster memberships of new > > data. This is very straight forward in classification but I can't think > > of a single clustering method I know can do this. I guess some > > model-based techniques maybe can do this but frankly, I have no clue at all. > > > > > > > Jay. > > ------------------------------------------------- This mail sent through IMP: http://horde.org/imp/
