Computer Science ›› 2019, Vol. 46 ›› Issue (11): 247-250.doi: 10.11896/jsjkx.190800042

• Artificial Intelligence • Previous Articles     Next Articles

Bionic Optimized Clustering Data Mining Algorithm Based on Cloud Computing Platform

SHEN Yan-ping1, GU Su-hang2, ZHENG Li-xia3   

  1. (School of Information Engineering,Changzhou Institute of Industry Technology,Changzhou,Jiangsu 213164,China)1
    (School of Digital Media,Jiangnan University,Wuxi,Jiangsu 214122,China)2
    (Microelectronics College,Southeast University,Nanjing 210096,China)3
  • Received:2019-08-09 Online:2019-11-15 Published:2019-11-14

Abstract: In order to improve the validity of cloud computing platform data mining and the performance of data clustering,this paper combined bionic optimization algorithm with similar clustering to achieve cloud computing platform data clustering.In the process of solving the optimization function of similar clustering,wolf swarm optimization algorithm is used to locate the head wolf position to determine the cluster centers,so as to optimize and update the category centers.PBM and DB clustering effect evaluation methods were used to test the clustering effect,and wolf swarm optimization and similar clustering calculation were carried out continuously until the requirements of clustering index are met.Experiments results show that,compared with general clustering algorithms,wolf swarm optimization clustering algorithm has better clustering effect and faster convergence speed for cloud computing platform with large data volume and high data dimension.

Key words: Bionic optimization, Cloud computing platform, Clustering, Evaluation index, Wolf swarm algorithm

CLC Number: 

  • TP311
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