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KNN text categorization algorithm based on LSA reduce dimensionality

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5 Author(s)
Liangjun Li ; Comput. Center, Anshan Normal Univ., Anshan, China ; Yuanyuan Che ; Hongliang Zhang ; Tienan Li
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Aimed at the problem of document automatic classification, an improved KNN algorithm is proposed based on LSA reduced dimensionality. It advances the KNN algorithm's efficiency and classifier's precision by using LSA to reduce dimensionality of text feature matrix. The experiment result shows that the improved KNN algorithm has good performance.

Published in:

Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International  (Volume:2 )

Date of Conference:

20-22 Aug. 2011