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.

Thanks,
Tal



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