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Clustering Approach on Core-based and Energy-based Vibrating

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Shardrom Johnson

    (Shanghai University, School of Computer Engineering and Science)

  • Daniel Hsu

    (Shanghai University, School of Computer Engineering and Science)

  • Gengfeng Wu

    (Shanghai University, School of Computer Engineering and Science)

  • Shenjie Jin

    (Global Delivery China Center, Hewlett-Packard Development Company)

  • Wu Zhang

    (Shanghai University, School of Computer Engineering and Science)

Abstract

Clustering, focused mainly on distance-based clustering, has been studied extensively for many years. To discover clusters with arbitrary shapes, density-based clustering methods have been developed. The Core-based and Energy-based Vibrating Method, presented in this issue, is a clustering method which improves the density-based clustering methods of data mining in some fields. Density-based clustering is firstly used to find the core object. Then, the core object is described by the conception of energy. Based on the energy analysis, the peculiar objects is vibrating by the interfering energy to weaken their dissimilarity. Therefore, Vibrating Method, as one of the cluster reducing strategy, can reduce the number of clustering and highlight the correlation among clusters.

Suggested Citation

  • Shardrom Johnson & Daniel Hsu & Gengfeng Wu & Shenjie Jin & Wu Zhang, 2005. "Clustering Approach on Core-based and Energy-based Vibrating," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 325-331, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-27912-9_39
    DOI: 10.1007/3-540-27912-1_39
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