A fast algorithm for local feature selection in data classification

Typical feature selection methods select a global feature subset that is applied over all regions of the sample space. In localized feature selection (LFS), each region of the sample space is associated with its own optimized feature subset. This allows the feature subset to adapt to local variation...

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Veröffentlicht in:	Expert systems 2019-06, Vol.36 (3), p.n/a
Hauptverfasser:	Hoseininejad, Fereshteh Sadat, Forghani, Yahya, Ehsani, Omid
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Classification closed‐form solution Feature selection localized feature selection (LFS) Methods Randomization randomized rounding relaxation technique Rounding
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