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Multi-view data ensemble clustering: a cluster-level perspective

  • 【作者】Jiye Liang,Qianyu Shi,Xingwang Zhao
  • 【刊名】Itnernational Journal of Machine Intelligence and Sensory Signal Processing
  • 【作者单位】Department of Computer Science, Taiyuan Normal University, China; Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China Key Laboratory of Computational Intelligence and Chinese Information, Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, School of Computer and Information Technology, Shanxi University, Taiyuan, China
  • 【年份】2018
  • 【卷号】Vol.2 No.2
  • 【页码】165-188
  • 【ISSN】2048-9161;2048-917X
  • 【关键词】multi-view data mixed data k-prototypes clustering algorithm ensemble clustering 
  • 【摘要】 Ensemble clustering has recently emerged a powerful clustering analysis technology for multi-view data. From the existing work, these techniques held great promise, but most of them are inefficient for large data. Some researchers have also proposed ...
  • 【文献类型】 期刊
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