Knowledge Network Node
Computer Engineering and Design. 2007, (18) Core

Research of BIRCH clustering algorithm optimization and parallelismChinese Full Text

ZHU Ying-hui, JIANG Yu-zhen (College of Mathematics and Information Technology, Hanshan Normal University, Chaozhou 521041, China)

Abstract: To improve the quality of clustering, considering the insufficiency of clustering precision which exists in the BIRCH algorithm, the idea of different threshold should be set in different cluster in CF-tree is implemented. An in-depth study and analysis is carried out on how to accelerate clustering in cluster system. Subsequently, some creative schemes such as custom datatype, data parallelism, and asymmetric data-partition are put forward. Finally, a result of the better performance is obtained after the improvement is verified by an experiment.
Keywords：

cluster; data mining; clustering; quality of clustering; parallelism;

  • DOI：

    10.16208/j.issn1000-7024.2007.18.014

  • Series：

  • Subject：

  • Classification Code：

    TP301.6

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