Re: FCM [Help]

george.m.dermitzakis (george@dermitzakis.demon.co.uk)
Sat, 6 Jun 1998 23:16:41 +0200 (MET DST)

Fabrizio Ceccato wrote:

> Hi there,
> I'm searching some references and hints about Fuzzy clustering of items
> with an high dimensionality (i.e. each feature/item is a vector composed of 256 elements).
> Shall I use the Euclidean norm or a more general Lp norm?
> Is there a specific method of clustering (also non fuzzy)??
>
> Thanx,
> CeccO
>
> emails are welcome (cecco@unive.it)

Hello Fabrizio

You can try the :

'Fuzzy Clustering Models and Applications' by Sato, Sato and Jain.
The way I understand it, you must find 256 weights so that the weighted
objective function is minimised.

Hope that helps

George

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