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A hybrid feature selection scheme for mixed attributes data

โœ Scribed by Haitao Liu, Ruxiang Wei, Guoping Jiang


Book ID
120888557
Publisher
Springer-Verlag
Year
2013
Tongue
English
Weight
335 KB
Volume
32
Category
Article
ISSN
0101-8205

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โœ Wenyin Tang; K.Z. Mao ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 283 KB

Feature selection is a crucial step in pattern recognition. Most feature selection algorithms reported are developed for continuous features. In this paper, we propose a feature selection algorithm for mixed-typed data containing both continuous and nominal features. The algorithm consists of a nove