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Research on the Improvement of the Fuzzy C-Means Text Mining Methods Based on Genetic Algorithm

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5 Author(s)
Xiang-dong Li ; Sch. of Manage., Hebei Univ. of Technol., Tianjin, China ; Zhi-hua Fu ; Li-ping Wu ; Xiao-bin Liu
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The paper adopts the fuzzy c-means text mining method in lots of text mining methods. But aim at the defect that the initial value of the fuzzy c-means is more sensitivity and poor stability, an improved GAFCM text mining method has been put forward. GAFCM uses global search features of genetic algorithms to improve the fuzzy c-means. Finally, it has proved that the improved text mining method has boosted in term of both accuracy and stability by an example.

Published in:

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on  (Volume:3 )

Date of Conference:

16-17 Dec. 2010