Hello,
The previous email, mentioned PCA and ICA and their kernel counter parts.
Like it sauid, its a good place to start from. But their effectiveness
highly depends on how noisy your dataset is and how large is the number of
features.
SVM-RFE by Isabelle Guyon is known to be very good. Another
, 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 classificatio
Well, you can use PCA which is a standard tool. (Of course, depending on
your problem and the nature and quality of the features the results may range
from great to catastrophic). In any case, that's what I'd try first.
Another option would be ICA but you need to satisfy some additional statisti
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
