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

• Type: Journal
• Year: 2009
• Where: ICTAI
• Authors: Rüdiger W. Brause
• Keywords: Artificial Intelligence, Feature Selection, ICTAI 2009, Mutual Information, Real-valued Features