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Volumn 8251 LNCS, Issue , 2013, Pages 148-155

Kernel based rough-fuzzy C-Means

Author keywords

Clustering; DB index; Dunn index; Kernel; Rough Fuzzy C Means

Indexed keywords

C-MEANS; CLUSTERING; DB INDEX; DUNN INDEX; KERNEL;

EID: 84893354971     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-45062-4_20     Document Type: Conference Paper
Times cited : (15)

References (15)
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    • 0014534297 scopus 로고
    • A new approach to clustering
    • Ruspini, E.H.: A new approach to clustering. Information and Control 15(1), 22-32 (1969)
    • (1969) Information and Control , vol.15 , Issue.1 , pp. 22-32
    • Ruspini, E.H.1
  • 5
  • 8
    • 84888414617 scopus 로고    scopus 로고
    • Adaptive K-Means Clustering to Handle Heterogeneous Data Using Basic Rough Set Theory
    • Meghanathan, N., Chaki, N., Nagamalai, D. (eds.) CCSIT 2012, Part I. Springer, Heidelberg
    • Tripathy, B.K., Ghosh, A., Panda, G.K.: Adaptive K-Means Clustering to Handle Heterogeneous Data Using Basic Rough Set Theory. In: Meghanathan, N., Chaki, N., Nagamalai, D. (eds.) CCSIT 2012, Part I. LNICST, vol. 84, pp. 193-202. Springer, Heidelberg (2012)
    • (2012) LNICST , vol.84 , pp. 193-202
    • Tripathy, B.K.1    Ghosh, A.2    Panda, G.K.3
  • 9
    • 45849113230 scopus 로고    scopus 로고
    • A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction
    • Yang, M.S., Tsai, H.S.: A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction. Pattern Recognition Letters 29(12), 1713-1725 (2008)
    • (2008) Pattern Recognition Letters , vol.29 , Issue.12 , pp. 1713-1725
    • Yang, M.S.1    Tsai, H.S.2
  • 12
    • 36649023533 scopus 로고    scopus 로고
    • RFCM: A Hybrid Clustering Algorithm using rough and fuzzy sets
    • Maji, P., Pal, S.K.: RFCM: A Hybrid Clustering Algorithm using rough and fuzzy sets. Fundamenta Informaticae 80(4), 475-496 (2007)
    • (2007) Fundamenta Informaticae , vol.80 , Issue.4 , pp. 475-496
    • Maji, P.1    Pal, S.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.