Hello,

I think that the problem is too complex and open to expect to find a tool
that does the job. The question of what constitutes an
interesting/relevant/useful feature for clustering is hard to answer. One
approach is to go for feature extraction (dimensionality reduction) rather
than feature selection.

If you have not already done so, you could look at the following references:

R. A. Jarvis, E. A. Patrick. Clustering using a similarity measure based on
shared nearest neighbours. IEEE Trans. Comput. C-22, 1025-1034 (1973).

L. Ertoez, M. Steinbach, V.Kumar. Finding clusters of different sizes,
shapes and densities in noisy, high dimensional data. Technical Report,
2002.

T. Hofmann. Unsupervised learning by probabilistic latent semantic analysis.
Machine Learning Journal, 42(1) 177-196, 2001.

L. Talavera, Feature selection and incremental learning of probabilistic
concept hierarchies. Proceedings of the Seventeenth International Conference
on Machine Learning, ICML2000.

http://www-stat.stanford.edu/~jhf/COSA.html

Best regards,

George

-----Original Message-----
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf
Of Estevam Rafael Hruschka Junior
Sent: Wednesday, May 25, 2005 5:21 PM
To: uai@engr.orst.edu
Subject: [UAI] Feature selection for clustering

Dear all,

I'm performing a clustering task and need to reduce the amount of my dataset

features (attributes). Looking for a feature selection tool, I've only faced

packages for classification. As I do not have the class information (in my 
dataset) I am not able to use them.

Do you know about any (free) feature selection software for clustering 
tasks?



Thank you so much in advance.

Best regards,



Estevam.

-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-_-
Estevam Rafael Hruschka Junior, PhD
Departamento de Computação
Universidade Federal de São Carlos (DC-UFSCar)
Rod. Washington Luiz, km 235
Caixa Postal (PO Box) 676
13565-905 São Carlos - SP - Brazil
phone: +55 16 3351-8608
http://www.dc.ufscar.br/~estevam 


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