Thanks Guys , I am able to generate the distance matrix for mixed column values ( categorical and ordinal ) using daisy function
But can anyone tell me how to generate clusters out of it , The point being i dont know the number of cluster beforehand Let me give an overview of the problem i am trying to solve is Given a dataset , something like below var1 var2 var3 Size element1-1 yes x present 100 element1-2 no y absent 294 element1-3 maybe x absent 45 The first 3 variables being categorical and last one being ordinal I need to do the following 1 ) Generate clusters out of it ( let say they are "training clusters" ) I am able to compute distance matrix ( using daisy ) , but not sure how to create unknown numbers of clusters , dbscan work on a distance matrix 2 ) Once that is done i want to spread some new data points in the above plot space ( lets say these are "test points" ) 3) Find out which "test points" are lying within a boundary of any above discovered training clusters If anyone know how to get this done then please let me know Its for an academic project and i am unable to make any progress Thanks and Regards K ________________________________ From: Ingmar Visser <i.vis...@uva.nl> Sent: Fri, 11 June, 2010 2:19:33 PM Subject: Re: [R] Finding distance matrix for categorical data latent class analysis may be more appropriate depending on your hypotheses, best, Ingmar e: All, > >>How can we find a distance matrix for categorical data > >>ie. given a csv below > >> var1 var2 var3 var4 >>element1-1 yes x a k >>element1-2 no y b l >>element1-3 maybe y c m > >>how can i compute the distance matrix between all the elements > >>Actually i need it to create clusters on top of it > >>Thanks & Regards >>Kapil > > >> [[alternative HTML version deleted]] > >>______________________________________________ >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. > [[alternative HTML version deleted]] ______________________________________________ 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.