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Research on Text Clustering Algorithm Based on Improved K_means

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1 Author(s)
Li Xinwu ; Electron. Bus. Dept., Jiangxi Univ. of Finance & Econ., Nanchang, China

Text clustering is one of the difficult and hot research fields in the Internet search engine research. Using and improving K-means clustering techniques, a new text clustering algorithm is presented. Firstly, texts are preprocessed to satisfy succeed process. Secondly, the paper improves the gravity centers calculation method and algorithm flow of K-means cluster algorithm to improve efficiency and stability of original K_means algorithm. The experimental results indicate that the improved algorithm has a higher accuracy compared with the original algorithm, and has a better stability.

Published in:

Future Computer and Communication, 2009. FCC '09. International Conference on

Date of Conference:

6-7 June 2009