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14

ICTAI
2009
IEEE

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Real-Valued Feature Selection by Mutual Information of Order 2

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Real-Valued Feature Selection by Mutual Information of Order 2

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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

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Artificial Intelligence | Feature Selection | ICTAI 2009 | Mutual Information | Real-valued Features |

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Added	19 Feb 2011
Updated	19 Feb 2011
Type	Journal
Year	2009
Where	ICTAI
Authors	Rüdiger W. Brause

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