• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 22 Issue 1
Feb.  2009
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Article Contents
YANG Yan, JIN Fan, KAMEL Mohamed. Web Document Ensemble Clustering Based on Adaptive Resonance Theory[J]. Journal of Southwest Jiaotong University, 2009, 22(1): 26-31.
Citation: YANG Yan, JIN Fan, KAMEL Mohamed. Web Document Ensemble Clustering Based on Adaptive Resonance Theory[J]. Journal of Southwest Jiaotong University, 2009, 22(1): 26-31.

Web Document Ensemble Clustering Based on Adaptive Resonance Theory

  • Received Date: 13 Aug 2007
  • Publish Date: 18 Feb 2009
  • A method for Web document ensemble clustering based on adaptive resonance theory(ART) was proposed.It consists of two steps: clusters are obtained with an ant-based clustering algorithm,and the clustering results are combined as the final target by an ART neural network.Experiments show that the overall clustering performance is improved after combination.

     

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