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An incremental algorithm of text clustering based on semantic sequences

โœ Scribed by Feng Zhonghui; Shen Junyi; Bao Junpeng


Publisher
Wuhan University
Year
2006
Tongue
English
Weight
568 KB
Volume
11
Category
Article
ISSN
1007-1202

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## a b s t r a c t In this paper, we develop a genetic algorithm method based on a latent semantic model (GAL) for text clustering. The main difficulty in the application of genetic algorithms (GAs) for document clustering is thousands or even tens of thousands of dimensions in feature space which