Feature selection using dynamic weights for classification

Feature selection aims at finding a feature subset that has the most discriminative information from the original feature set. In this paper, we firstly present a new scheme for feature relevance, interdependence and redundancy analysis using information theoretic criteria. Then, a dynamic weighting...

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Veröffentlicht in:	Knowledge-based systems 2013-01, Vol.37, p.541-549
Hauptverfasser:	Sun, Xin, Liu, Yanheng, Xu, Mantao, Chen, Huiling, Han, Jiawei, Wang, Kunhao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Automatic classification Classification Data mining Feature selection Filter method Information criterion Machine learning
Online-Zugang:	Volltext
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