Newsgroups: comp.ai.fuzzy
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From: saswss@hotellng.unx.sas.com (Warren Sarle)
Subject: Re: Fuzzy Clustering
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Date: Thu, 13 Jun 1996 17:02:55 GMT
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In article <4pmbec$qk7@news.Informatik.Uni-Oldenburg.DE>, "Thomas Mantay" <Thomas.Mantay@Informatik.Uni-Oldenburg.DE> writes:
|> Hello fuzzy-researchers,
|> 
|> I have a question concerning fuzzy-clustering of feature-vectors of
|> different lengths. Consider you have two vectors v=(v1,...,vn) and
|> w=(w1,...,wm) with m < n, that is, w is shorter than v. Ordinary fuzzy-
|> clustering-algorithms like the FCM require the vectors to be of equal
|> lengths, so what possibilities do you have to equal their lengths? One
|> way is to enlengthen w to w'=(w1,...,wm,wm+1,...,wn), but will this
|> really give the a reasonable result? Another possibility would be to 
|> apply a dynamic length normalization to both vectors in the sense of
|> minimizing a criteria by a dynamic programming procedure according to 
|> Belman.

There is no way to answer this question without knowing what the vectors
mean, why they are not the same length, and what the purpose of the
analysis is.

-- 

Warren S. Sarle       SAS Institute Inc.   The opinions expressed here
saswss@unx.sas.com    SAS Campus Drive     are mine and not necessarily
(919) 677-8000        Cary, NC 27513, USA  those of SAS Institute.
