In addition to Brian's comment, Gordon's book, already in 2nd edition, is all about clustering, but the title is simply `Classification'.
Andy From: Sean Davis > > We have to be careful here. Classification (which is the > terminology that the original poster used) is NOT the same as > clustering, although the two are often confused. If the > original poster wants to do clustering and examine the > results for the presence of three clusters, that is fine and > there are many methods for clustering that could be used. > However, classification will require a different set of > tools. If the clustering tools already pointed out are not > doing what is needed (that is, that Cao actually is > interested in clustering and not classification), then > perhaps a further explanation of what the problem would help clarify. > > Sean > > > On 3/29/06 1:46 AM, "Jacques VESLOT" <[EMAIL PROTECTED]> wrote: > > > try this (suppose mat is your matrix): > > > > hc <- hclust(dist(mat,"manhattan"), "ward") > > plot(hc, hang=-1) > > (x <- identify(hc)) # rightclick to stop > > cutree(hc, 3) > > > > km<- kmeans(mat, 3) > > km$cluster > > km$centers > > > > pam(daisy(mat, metric = "manhattan"), k=3, diss=T)$clust > > > > > > > > Baoqiang Cao a écrit : > > > >> Thanks! > >> I tried kmeans, the results is not very positive. Anyway, thanks > >> Jacques! Please let me know if you have any other thoughts! > >> > >> Best regards, > >> Baoqiang Cao > >> > >> ======= At 2006-03-29, 00:08:44 you wrote: ======= > >> > >> > >> > >>> if you want to classify rows or columns, read: > >>> ?hclust > >>> ?kmeans > >>> library(cluster) > >>> ?pam > >>> > >>> > >>> Baoqiang Cao a écrit : > >>> > >>> > >>> > >>>> Dear All, > >>>> > >>>> I have a data, suppose it is an N*M matrix data. All I > want is to > >>>> classify it into, let see, 3 classes. Which method(s) do > you think > >>>> is(are) appropriate for this purpose? Any reference will be > >>>> welcome! Thanks! > >>>> > >>>> Best, > >>>> Baoqiang Cao > >>>> > >>>> > >>>> > >>>> > ------------------------------------------------------------------- > >>>> ----- > >>>> > >>>> ______________________________________________ > >>>> [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 > >>>> > >>>> > >>>> > >>> . > >>> > >>> > >> > >> = = = = = = = = = = = = = = = = = = = = > >> > >> Baoqiang Cao > >> [EMAIL PROTECTED] > >> 2006-03-29 > >> > >> > >> > >> > > > > ______________________________________________ > > [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 > > ______________________________________________ [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
