The clustering algorithm for Chinese texts based on Lingo

This paper presents a novel Chinese text clustering algorithm, named C-Lingo (Chinese Lingo), which improves the performance of Lingo Algorithm to replace the singular value decomposition (SVD) by non-negative matrix factorization (NMF). In the C-Lingo algorithm functions of the segmentation of Chin...

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Bibliographic Details
Published in:	2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Vol. 2; pp. 1187 - 1190
Main Authors:	Xiuqin Lin, Qianhao Zhang, Gengyu Wei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01-07-2011
Subjects:	Algorithm design and analysis C-Lingo Chinese text clustering Clustering algorithms Contamination Lingo Matrix decomposition NMF Singular value decomposition Software algorithms SVD Text processing
Online Access:	Get full text
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Summary:	This paper presents a novel Chinese text clustering algorithm, named C-Lingo (Chinese Lingo), which improves the performance of Lingo Algorithm to replace the singular value decomposition (SVD) by non-negative matrix factorization (NMF). In the C-Lingo algorithm functions of the segmentation of Chinese word and the removal of stop words are added in order to process the web page with Chinese text. The evaluation results show that the C-Lingo algorithm has got better performances.
ISBN:	9781612841809 1612841805
DOI:	10.1109/FSKD.2011.6019740