Re: Weighted Clustering

Thomas Runkler (runkler@mchp.siemens.de)
Thu, 9 Dec 1999 16:03:17 +0100 (MET)

snugroho@gmx.de wrote:

: Suppose we have n variables. Every variable has its own degree of
: importance, or priority which is expressed in its weight. This weight could either
: be crisp or fuzzy.
: Is it possible to make a cluster using fuzzy c-means? If so how?

Setyo,

you might use the fuzzy c-means model with a diagonal norm as distance
measure. The elements of the diagonal matrix are weights for the distances
in the data components and can therefore be used to represent the importance
of the variables.

Hope this helps

Thomas

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Thomas A. Runkler Phone ++49 89 636 45372
Siemens Corporate Technology Fax ++49 89 636 45456
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