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Volumn 1, Issue , 2006, Pages 896-899

An adaptive classification algorithm using robust incremental clustering

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; CLASSIFICATION (OF INFORMATION); PRINCIPAL COMPONENT ANALYSIS; ROBUST CONTROL;

EID: 34047227603     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.231     Document Type: Conference Paper
Times cited : (5)

References (7)
  • 1
    • 0001311791 scopus 로고
    • Dynamic cell structure learns perfectly topology preserving map
    • J. Bruske and G. Sommer. Dynamic cell structure learns perfectly topology preserving map. Neural Computation, 7(4): 845-865, 1995.
    • (1995) Neural Computation , vol.7 , Issue.4 , pp. 845-865
    • Bruske, J.1    Sommer, G.2
  • 2
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • G. A. Carpenter, S. Grossberg, and D. B. Rosen. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks, 4:759-771, 1991.
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.A.1    Grossberg, S.2    Rosen, D.B.3
  • 3
    • 25144476363 scopus 로고    scopus 로고
    • A statistics-based approach to control the quality of subclusters in incremental gravitational clustering
    • Dec
    • C. Y. Chen, S. C. Hwang, and Y. J. Oyang. A statistics-based approach to control the quality of subclusters in incremental gravitational clustering. Pattern Recognition, 38(12):2256-2269, Dec. 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.12 , pp. 2256-2269
    • Chen, C.Y.1    Hwang, S.C.2    Oyang, Y.J.3
  • 6
    • 24044500600 scopus 로고    scopus 로고
    • A new approach to clustering data with arbitrary shapes
    • Nov
    • M. C. Su and Y. C. Liu. A new approach to clustering data with arbitrary shapes. Pattern Recognition, 38(11):1887-1901, Nov. 2005.
    • (2005) Pattern Recognition , vol.38 , Issue.11 , pp. 1887-1901
    • Su, M.C.1    Liu, Y.C.2
  • 7
    • 0041471247 scopus 로고    scopus 로고
    • Candid covariance-free incremental principal component analysis
    • J. Weng, Y. Zhang, and W.-S. Hwang. Candid covariance-free incremental principal component analysis. IEEE Trans. Pattern Anal. Mach. Intell, 25(8):1034-1040, 2003.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell , vol.25 , Issue.8 , pp. 1034-1040
    • Weng, J.1    Zhang, Y.2    Hwang, W.-S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.