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

Uwe Ligges ligges at statistik.tu-dortmund.de
Wed Apr 21 18:53:40 CEST 2010

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
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