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Volume 30 Issue 8
Jan.  2011
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Zhu Lin, Wang Shi-tong, Pan Yong-hui, Han Bin. Improved Fuzzy Partitions for K-Plane Clustering Algorithm and Its Robustness Research[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1923-1927. doi: 10.3724/SP.J.1146.2006.02065
Citation: Zhu Lin, Wang Shi-tong, Pan Yong-hui, Han Bin. Improved Fuzzy Partitions for K-Plane Clustering Algorithm and Its Robustness Research[J]. Journal of Electronics & Information Technology, 2008, 30(8): 1923-1927. doi: 10.3724/SP.J.1146.2006.02065

Improved Fuzzy Partitions for K-Plane Clustering Algorithm and Its Robustness Research

doi: 10.3724/SP.J.1146.2006.02065
  • Received Date: 2006-12-26
  • Rev Recd Date: 2007-07-16
  • Publish Date: 2008-08-19
  • A new robust Improved Fuzzy Partitions for K-Plane Clustering (IFP-KPC) algorithm is proposed. The proposed algorithm can reduce the sensitivity of the k-plane clustering algorithm to noises in real datasets. Also the distances to the Voronoi cell are used to give a reasonable explanation for the robustness of IFP-KPC. Experimental results demonstrate the effectiveness of IFP-KPC.
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