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Paolo,

Perhaps you find interesting algorithm

and functions in open source package R (Cran ) !

http://www.r-project.org

Here you find 2 packages , one is "cluster" which implement

a fuzzy-clustering algorithm and the package "e1071" have some, too.

It would be fine when we can discuss about cluster problems.

My common problem is, what is the best strategy to cluster

variables with different scales.

At this time my stretegy is recode ordinal variables

in binary variables and the ratio-scaled variables 1 do transform

with z-transformation.

*>...and further i use fuzzy-clustering in a socila-science context,
*

- my intention is to cluster (construct) lifestyles , but people

have not 1 strong lifestyle ..........

regards,christian

Paolo Testi wrote:

*> Dear All,
*

*> during my M.A. thesis research i find an interesting problem
*

*> which i'd like to discuss because i don't know the possible solution.
*

*> The problem is that I have to cluster a datasets like this:
*

*>
*

*> A 1 1 1 1 0 0 0 2 2 2 0 0
*

*> B 0 0 0 2 0 0 0 1 1 1 1 2
*

*> C 1 1 1 0 0 0 1 1 1 1 0 3
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*>
*

*> (Unfortunately the matrix is bigger than this!!)
*

*>
*

*> I found that the cityblovk distance give the best results to calculate
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*> the distance between A and B but I don't know how I could modify the
*

*> fuzzy C-means Algorithm to make the correct clustering. Anyone have
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*> got an idea?
*

*> But I found a paper [Bezdek, Hatharway] about NERF (Non Euclidean
*

*> Relational fuzzy clustering) but I have the same problem...Help!!!!
*

*>
*

*> Paolo
*

*>
*

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