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A New Web Text Clustering Algorithm Based on DFSSM
August 03-August 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISECS.2008.1102008 International Symposium on Elect ...
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A new algorithm of Web text clustering mining is presented, which is based on the Discovery Feature Sub-space Model (DFSSM). This algorithm includes the training stage of SOM and the clustering stage, which characterizes self-stability and powerful antinoise ability. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. we have applied the algorithm to the modern long-distance education. Through the analysis of the experimental results, it is obvious that this algorithm can effective help users to get valuable information from WWW quickly.
Citation:
Bingru Yang, Zefeng Song, Yinglong Wang, Wei Song, "A New Web Text Clustering Algorithm Based on DFSSM," isecs, pp.27-32, 2008 International Symposium on Electronic Commerce and Security, 2008
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