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1 Ergebnisse
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Feature extraction based on principal component analysis fo..:
, In:
2017 International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)
,
Lhazmir, Safae
;
El Moudden, Ismail
;
Kobbane, Abdellatif
- p. 1-6 , 2017
Link:
https://doi.org/10.23919/PEMWN.2017.8308030
RT T1 <cTitle>2017 International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN)</cTitle>: T1 <Title>Feature extraction based on principal component analysis for text categorization</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-8308030&Exemplar=1&LAN=DE A1 Lhazmir, Safae A1 El Moudden, Ismail A1 Kobbane, Abdellatif YR 2017 K1 Feature extraction K1 Principal component analysis K1 Dimensionality reduction K1 Support vector machines K1 Text categorization K1 Analytical models K1 Data models K1 Dimensionality Reduction SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.23919/PEMWN.2017.8308030 DO https://doi.org/10.23919/PEMWN.2017.8308030 SF ELIB - SuUB Bremen
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