Fuzzy clustering algorithm of high dimensional spatial data

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University

Volumn 27, Issue SUPPL., 2006, Pages 485-488

  Yang, Yue ^a   Zhang, Jian Pei ^a   Li, Zhong Wei ^a  

^a HARBIN ENGINEERING UNIVERSITY   (China)

Author keywords

Adjacent grids; Fuzzy extend region; High dimensional spatial clustering; Membership degree

Indexed keywords

COMPUTER SCIENCE; FUZZY SETS; MEMBERSHIP FUNCTIONS;

ADJACENT GRIDS; FUZZY EXTEND REGION; HIGH DIMENSIONAL SPATIAL CLUSTERING; MEMBERSHIP DEGREE;

ALGORITHMS;

EID: 33750202293     PISSN: 10067043     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. VRAHATIS M N, BOUTSINAS B, PAVLIDES G.. The new k-Windows algorithm for improving the k-Means clustering algorithm[A]. Journal of Complexity, 2002, 18: 375-391.
2. PILEVAR A H, SUKUMAR M. GCHL: a grid-clustering algorithm for high-dimensional very large spatial data bases[A]. Pattern Recognition Letters, 2005, 26: 999-1010.
3. OTOO E J, SHOSHANI A, HWANG S W. Clustering high dimensional massive science datasets[J]. Journal of Intelligent Information System, 2001, 17(2/3): 147-168.
4. O'Callaghan L, MISHAR N, MEYERSON A, et al. STREAM-data algorithms for high-quality clustering[A]. Proceedings of IEEE International Conference on Data Engineering[C]. http://www.cse.unsw.edu.au/, 2002.