Journal of Jilin University Science Edition ›› 2020, Vol. 58 ›› Issue (3): 634-638.

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Optimization of Canopy on K Selection in Partition Clustering Algorithm

WANG Haiyan1, CUI Wenchao2, XU Peidi2, LI Chuang2   

  1. 1. College of Computer Science and Technology, Changchun University, Changchun 130022, China;2. College of Computer, Jilin Normal University, Siping 136000, Jilin Province, China
  • Received:2019-07-22 Online:2020-05-26 Published:2020-05-20
  • Contact: WANG Haiyan E-mail: jlsdwhy_0820@sina.cn

Abstract: Aiming at the problem of large amount of work on the value of clustering number K in partition clustering algorithm, we proposed a new Canopy+ algorithm. The proposed algorithm can predict the clustering number K and improve the clustering efficiency on the premise of ensuring the accuracy.

Key words: Canopy algorithm, partition clustering, clustering number, threshold

CLC Number: 

  • TP39