Proceedings of the Korean Society of Computer Information Conference (한국컴퓨터정보학회:학술대회논문집)

Korean Society of Computer Information (한국컴퓨터정보학회)
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Differential Evolution Based Clustering

차분진화에 기초한 클러스터링

  • Ham, Seo-Hyun (School of Computer Information & Communication Eng. Kunsan National University) ;
  • Lee, Hyun-Chang (Dept. of Digital Contents Eng, Wonkwang University) ;
  • Shin, Seong-Yoon (School of Computer Information & Communication Eng. Kunsan National University)
  • 함서현 (군산대학교, 컴퓨터정보통신공학부) ;
  • 이현창 (원광대학교 디지털콘텐츠공학과) ;
  • 신성윤 (군산대학교, 컴퓨터정보통신공학부)
  • Published : 2019.07.10
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Abstract

Tensor decomposition, proven to be an efficient data processing method, can be used to provide data-driven services. we propose a novel datadriven mutation strategy for parent individuals selection, namely tensor-based DE with parapatric and cross-generation(TPCDE).

Keywords