Wonderful Christian, thank you for the (*very*) helpful reply! Best, Tal
----------------Contact Details:------------------------------------------------------- Contact me: tal.gal...@gmail.com | 972-52-7275845 Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | www.r-statistics.com (English) ---------------------------------------------------------------------------------------------- On Wed, Apr 21, 2010 at 8:16 PM, Christian Hennig <chr...@stats.ucl.ac.uk>wrote: > Dear Tal, > > I took the definition of the Hubert gamma- and Dunn-index from the Gordon > book. They are actually not about comparing two clusters, at least not in > that reference, and they require dissimilarities. > > The adjusted Rand index and Meila's VI, as implemented in cluster.stats, > compare two clusterings. If you set compareonly=TRUE in cluster.stats, it > only computes these two indexes, so it doesn't need the dissimilarity matrix > in principle. I will probably in the next update > change it so that in this case you don't need to provide a > dissimilarity matrix. > > Until then, you can supply a noninformative matrix. > Example: > c1 <- sample(4,100,replace=TRUE) > c2 <- sample(5,100,replace=TRUE) > cs <- cluster.stats(d=matrix(0,ncol=100,nrow=100),c1,c2,compareonly=TRUE) > > cs$corrected.rand > cs$vi > > Hope this helps, > Christian > > > > > On Wed, 21 Apr 2010, Tal Galili wrote: > > Thanks for the fast reply Uwe. >> >> My hope in posting this was to find if anyone had already done work (in R) >> in this direction. So far I wasn't able to find any such relevant code, >> so >> I turned to the mailing list. >> >> Regarding new implementations - thanks for offering! - I have already came >> around one such algorithm - I implemented it, and will probably publish it >> on my blog <http://www.r-statistics.com/> in the near future. >> >> >> If any one else has any reference to R implementation, it would be most >> helpful, >> Tal >> >> >> ----------------Contact >> Details:------------------------------------------------------- >> Contact me: tal.gal...@gmail.com | 972-52-7275845 >> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) | >> www.r-statistics.com (English) >> >> ---------------------------------------------------------------------------------------------- >> >> >> >> >> 2010/4/21 Uwe Ligges <lig...@statistik.tu-dortmund.de> >> >> On 21.04.2010 18:15, Tal Galili wrote: >>> >>> Hello all, >>>> >>>> I would like to compare the similarity of two cluster solutions using a >>>> validation criteria (such as Hubert's gamma coefficient, the Dunn index >>>> the >>>> corrected rand index and so on) >>>> >>>> I see (from here:http://www.statmethods.net/advstats/cluster.html) that >>>> the function cluster.stats() in the fpc package provides a mechanism >>>> for comparing 2 cluster solutions - *BUT* - it requires me to give the >>>> the distance matrix among objects. >>>> >>>> *My question *is: What ways can you suggest for comparing two cluster >>>> solutions, while using the cluster indicators only (i.e: a vector saying >>>> to >>>> which cluster each object belongs to), and WITHOUT asking to submit the >>>> distance matrix between the objects. >>>> >>>> >>> Don't know. If you have a theoretical solution and can provide the >>> description of a method, there will be many people around happy to make >>> an >>> algorithm and implement it. >>> >>> Uwe Ligges >>> >>> >>> >>> Thanks, >>> >>>> Tal >>>> >>>> >>>> >>>> ----------------Contact >>>> Details:------------------------------------------------------- >>>> Contact me: tal.gal...@gmail.com | 972-52-7275845 >>>> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) >>>> | >>>> www.r-statistics.com (English) >>>> >>>> >>>> ---------------------------------------------------------------------------------------------- >>>> >>>> [[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. >> >> > *** --- *** > Christian Hennig > University College London, Department of Statistical Science > Gower St., London WC1E 6BT, phone +44 207 679 1698 > chr...@stats.ucl.ac.uk, www.homepages.ucl.ac.uk/~ucakche > [[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.
