计算机科学 ›› 2012, Vol. 39 ›› Issue (9): 162-165.

• 数据库与数据挖掘 • 上一篇    下一篇

一种新的基于图划分聚类算法---GAGPBCUK算法

李小红,罗敏   

  1. (武汉大学计算机学院 武汉430072);(空天信息安全与可信计算教育部重点实验室 武汉430072)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Novel Graph Partition Based Clustering Algorithm---GAGPBCUK

  • Online:2018-11-16 Published:2018-11-16

摘要: 摘要提出了一种新的基于图划分的聚类算法—GAGPI3CUK算法。该算法解决了谱聚类算法参数敏感和聚类 结果不准确等问题。3组仿真实验结果表明,GAGPI3CUK算法不仅在识别和学习数据集中的隐含聚类数方面具有很 好的性能,而且能够得到比谱聚类算法(NJW算法)更加有效的聚类结果。

关键词: 聚类算法,谱聚类,遗传算法,图划分

Abstract: A novel graph partition based clustering algorithm(GAGPBCUK) was proposed to prevent the defects of spectral clustering methods,such as sensitive parameters and inaccurate results. Experiment results on three simulation datasets indicate that the proposed algorithm can not only determine and learn the dataset's cluster number effectively but also can get more effective clustering result than spectral clustering algorithm(i. c. NJW algorithm).

Key words: Clustering algorithm, Spectral cluster, Genetic algorithm, Graph partition

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