• 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 4
Aug.  2009
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Article Contents
HU Xuegang, CAO Yongzhao, WU Gongqing. Effective Twice-Clustering Algorithm for Data Streams[J]. Journal of Southwest Jiaotong University, 2009, 22(4): 490-494.
Citation: HU Xuegang, CAO Yongzhao, WU Gongqing. Effective Twice-Clustering Algorithm for Data Streams[J]. Journal of Southwest Jiaotong University, 2009, 22(4): 490-494.

Effective Twice-Clustering Algorithm for Data Streams

  • Received Date: 21 Mar 2008
  • In order to enhance the quality of data stream clustering towards noisy and unbalanced data,an effective twice-clustering algorithm for data streams,TCLUSA for short,was proposed.TCLUSA is based on the simple divide-and-conquer and separability theorems,uses DBSCAN(density-based spatial clustering of applications with noise) to get the average point of each cluster as its local result,and then achieves the final result by clustering all the average points using the k-means.The algorithm keeps all the average points by a layered structure.The theoretical analysis and experimental results demonstrate that the proposed algorithm can enhance clustering quality efficiently when data distribution is abnormal or a high dimensional data stream is dealt with.

     

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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