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ICTAI
2009
IEEE

Real-Valued Feature Selection by Mutual Information of Order 2

13 years 8 months ago
Real-Valued Feature Selection by Mutual Information of Order 2
The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, this contribution shows how feature selection for a high number of features can be implemented using mutual information. Especially, the common problem for mutual information computation of computing joint probabilities for many dimensions using only a few samples is treated by using the R
Rüdiger W. Brause
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICTAI
Authors Rüdiger W. Brause
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