[R] Can I compare two clusters without using their distance-matrix (dist()) ?

[Uwe Ligges]

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.Galili at 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 at 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.