메뉴 건너뛰기




Volumn , Issue , 2006, Pages 4406-4412

PARTCAT: A subspace clustering algorithm for high dimensional categorical data

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA STRUCTURES; DATABASE SYSTEMS; NETWORK ARCHITECTURE; NEURAL NETWORKS;

EID: 40649124522     PISSN: 10987576     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (20)
  • 1
    • 84893405732 scopus 로고    scopus 로고
    • Data clustering: A review
    • September
    • A. Jain, M. Murty. and P. Flynn, "Data clustering: A review." ACM Computing Surveys, vol. 31, no. 3, pp. 264-323, September 1999.
    • (1999) ACM Computing Surveys , vol.31 , Issue.3 , pp. 264-323
    • Jain, A.1    Murty, M.2    Flynn, P.3
  • 3
    • 0020848951 scopus 로고
    • A survey of recent advances in hierarchical clustering algorithms
    • November
    • F. Murtagh, "A survey of recent advances in hierarchical clustering algorithms." The Computer Journal, vol. 26, no. 4, pp. 354-359. November 1983.
    • (1983) The Computer Journal , vol.26 , Issue.4 , pp. 354-359
    • Murtagh, F.1
  • 5
    • 0036120047 scopus 로고    scopus 로고
    • Projective ART for clustering data sets in high dimensional spaces
    • January
    • Y. Cao and J. Wu, "Projective ART for clustering data sets in high dimensional spaces," Neural Networks, vol. 15, no. 1, pp. 105-120, January 2002.
    • (2002) Neural Networks , vol.15 , Issue.1 , pp. 105-120
    • Cao, Y.1    Wu, J.2
  • 6
    • 0034800371 scopus 로고    scopus 로고
    • Principal component analysis for clustering gene expression data
    • September
    • K. Yeung and W. Ruzzo, "Principal component analysis for clustering gene expression data," Bioinformatics. vol. 17, no. 9, pp. 763-774, September 2001.
    • (2001) Bioinformatics , vol.17 , Issue.9 , pp. 763-774
    • Yeung, K.1    Ruzzo, W.2
  • 9
    • 0039253822 scopus 로고    scopus 로고
    • C. Aggarwal and P. Yu, Finding generalized projected clusters in high dimensional spaces, in Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA. W. Chen, J. F. Naugliton, and P. A. Bernstein, Eds., 29. ACM, 2000, pp. 70-81.
    • C. Aggarwal and P. Yu, "Finding generalized projected clusters in high dimensional spaces," in Proceedings of the 2000 ACM SIGMOD International Conference on Management of Data, May 16-18, 2000, Dallas, Texas, USA. W. Chen, J. F. Naugliton, and P." A. Bernstein, Eds., vol. 29. ACM, 2000, pp. 70-81.
  • 10
    • 20444480041 scopus 로고    scopus 로고
    • FINDIT: A fast and intelligent subspace clustering algorithm using dimension voting,
    • Ph.D. dissertation, Korea Advanced Institue of Science and Technology. Department of Electrical Engineering and Computer Science
    • K. Woo and J. Lee, "FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting," Ph.D. dissertation, Korea Advanced Institue of Science and Technology. Department of Electrical Engineering and Computer Science, 2002.
    • (2002)
    • Woo, K.1    Lee, J.2
  • 11
    • 26844445118 scopus 로고    scopus 로고
    • Subspace clustering for high dimensional categorical data
    • December
    • G. Gan and J. Wu, "Subspace clustering for high dimensional categorical data," ACM SIGKDD Explorations Newsletter, vol. 6, no. 2, pp. 87-94, December 2004.
    • (2004) ACM SIGKDD Explorations Newsletter , vol.6 , Issue.2 , pp. 87-94
    • Gan, G.1    Wu, J.2
  • 12
    • 84949487685 scopus 로고    scopus 로고
    • A scalable parallel subspace clustering algorithm for massive data sets
    • Washington, Brussels, Tokyo: IEEE, August
    • H. Nagesh, S. Goil. and A. Choudhary. "A scalable parallel subspace clustering algorithm for massive data sets," in 2000 International Conference on Parallel Processing (ICPP'00). Washington - Brussels - Tokyo: IEEE, August 2000, pp. 477-186.
    • (2000) 2000 International Conference on Parallel Processing (ICPP'00) , pp. 477-186
    • Nagesh, H.1    Goil, S.2    Choudhary, A.3
  • 13
    • 40649118945 scopus 로고    scopus 로고
    • Neural networks for clustering: Theory, architecture, algorithms and neural dynamics
    • Ph.D. dissertation, Department of Mathematics and Statistics, York University. Toronto, ON, Canada, October
    • Y. Cao. "Neural networks for clustering: Theory, architecture, algorithms and neural dynamics." Ph.D. dissertation, Department of Mathematics and Statistics, York University. Toronto, ON, Canada, October 2002.
    • (2002)
    • Cao, Y.1
  • 14
    • 2442443105 scopus 로고    scopus 로고
    • Dynamics of projective adaptive resonance theory model: The foundation of PART algorithm
    • Y. Cao and J. Wu. "Dynamics of projective adaptive resonance theory model: the foundation of PART algorithm," IEEE Transactions on Neural Networks, vol. 15, no. 2, pp. 245-260, 2004.
    • (2004) IEEE Transactions on Neural Networks , vol.15 , Issue.2 , pp. 245-260
    • Cao, Y.1    Wu, J.2
  • 15
    • 0021776661 scopus 로고
    • A massively parallel architecture for a self-organizing neural pattern recognition mathine
    • G. Carpenter and S. Grossberg, "A massively parallel architecture for a self-organizing neural pattern recognition mathine," Computer Vision, Graphics and Image Processing, vol. 37, pp. 54-115. 1987.
    • (1987) Computer Vision, Graphics and Image Processing , vol.37 , pp. 54-115
    • Carpenter, G.1    Grossberg, S.2
  • 16
    • 84973857317 scopus 로고
    • ART2: Self-organization of stable category recognition codes for analog input patterns
    • _, "ART2: Self-organization of stable category recognition codes for analog input patterns," Applied Optics, vol. 26. pp. 4919-4930, 1987.
    • (1987) Applied Optics , vol.26 , pp. 4919-4930
    • Carpenter, G.1    Grossberg, S.2
  • 17
    • 0025235219 scopus 로고
    • ART3: Hierarchical search using chemical transmitters in selforganizing pattern recognition architectures
    • _, "ART3: Hierarchical search using chemical transmitters in selforganizing pattern recognition architectures," Neural Networks, vol. 3, pp. 129-152, 1990.
    • (1990) Neural Networks , vol.3 , pp. 129-152
    • Carpenter, G.1    Grossberg, S.2
  • 19
    • 27144536001 scopus 로고    scopus 로고
    • Extensions to the k-means algorithm for clustering large data sets with categorical values
    • Z. Huang, "Extensions to the k-means algorithm for clustering large data sets with categorical values." Data Mining and Knowledge Discovery, vol. 2, no. 3, pp. 283-304, 1998.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.3 , pp. 283-304
    • Huang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.