DocumentCode :
3264424
Title :
Document Classification Algorithm Using Kernel LPP
Author :
Wang, Ziqiang ; Qian, Xu
Author_Institution :
Coll. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol.(Beijing), Beijing, China
Volume :
2
fYear :
2009
fDate :
6-7 June 2009
Firstpage :
100
Lastpage :
102
Abstract :
With the explosive increase in document data on the Internet, classifying documents from document database has become one of the hottest research fields.To efficiently deal with this problem, an efficient document classification algorithm based on kernel locality preserving projection (Kernel LPP) is presented in this paper. Experimental results show that the proposed algorithm outperforms other related document classification algorithms.
Keywords :
Internet; document handling; Internet; document classification algorithm; document database; kernel LPP; kernel locality preserving projection; Classification algorithms; Data mining; Educational institutions; Explosives; Information retrieval; Internet; Kernel; Large scale integration; Linear discriminant analysis; Pattern recognition; document classification; kernel machine; locality preserving projection (LPP);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3645-3
Type :
conf
DOI :
10.1109/CINC.2009.54
Filename :
5231021
Link To Document :
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