메뉴 건너뛰기




Volumn , Issue , 2012, Pages

FaiNet: An immune algorithm for fuzzy clustering

Author keywords

artificial immune system; bioinspired algorithms; dynamic population; fuzzy clustering

Indexed keywords

ARTIFICIAL IMMUNE NETWORKS; ARTIFICIAL IMMUNE SYSTEM; BIO-INSPIRED; BIO-INSPIRED ALGORITHMS; DATA CLUSTERING; DATA SETS; DECISION MECHANISM; DYNAMIC POPULATION; FUZZY C MEAN; FUZZY PARTICLE SWARM; FUZZY PARTITION; IMMUNE ALGORITHMS; IMMUNE SYSTEMS; INTELLIGENT MECHANISMS; MODIFIED ALGORITHMS; NUMBER OF CLUSTERS; REAL PROBLEMS; WEB MINING;

EID: 84867596102     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2012.6251354     Document Type: Conference Paper
Times cited : (7)

References (50)
  • 1
    • 84892062680 scopus 로고    scopus 로고
    • A survey of clustering data mining techniques
    • Springer Berlin Heidelberg
    • P. Berkhin, A Survey of Clustering Data Mining Techniques, Grouping Multidimensional Data, Springer Berlin Heidelberg, pp.25-71, 2006.
    • (2006) Grouping Multidimensional Data , pp. 25-71
    • Berkhin, P.1
  • 5
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond K-means
    • Elsevier B.V.
    • A.K. Jain, Data clustering: 50 years beyond K-means, In Pattern Recognition Letters, Elsevier B.V., vol.31, pp.651-666, 2010, http://linkinghub.elsevier.com/retrieve/pii/S0167865509002323.
    • (2010) Pattern Recognition Letters , vol.31 , pp. 651-666
    • Jain, A.K.1
  • 9
    • 38549112356 scopus 로고    scopus 로고
    • The effective genetic clustering algorithm and the optimization of the web advertising investment
    • X. Peng, The Effective Genetic Clustering Algorithm and the Optimization of The Web Advertising Investment, In International Conference on Computational Intelligence and Security, pp.328-332, 2006.
    • (2006) International Conference on Computational Intelligence and Security , pp. 328-332
    • Peng, X.1
  • 14
    • 23144460461 scopus 로고    scopus 로고
    • Strategies for the increased robustness of ant-based clustering
    • LNCS
    • J. Handl, J. Knowles, and M. Dorigo, Strategies for the increased robustness of ant-based clustering, In Engineering Self-Organising Systems, vol. LNCS 2977, pp.90-104, 2004.
    • (2004) Engineering Self-organising Systems , vol.2977 , pp. 90-104
    • Handl, J.1    Knowles, J.2    Dorigo, M.3
  • 15
    • 30544448155 scopus 로고    scopus 로고
    • Ant colony optimization of clustering models
    • DOI 10.1002/int.20111
    • T.A. Runkler, Ant colony optimization of clustering models, In International Journal of Intelligent Systems, vol.20, pp.1233-1251, 2005. (Pubitemid 43082550)
    • (2005) International Journal of Intelligent Systems , vol.20 , Issue.12 , pp. 1233-1251
    • Runkler, T.A.1
  • 16
    • 0004125427 scopus 로고    scopus 로고
    • Artificial immune systems: Part I - Basic theory and applications
    • L.N. de Castro and F.J. Von Zuben, Artificial Immune Systems: Part I - Basic Theory and Applications, Technical Report - RT DCA 01/99, 1999, URL: ftp//ftp.dca.fee.unicamp.br/pub/docs/vonzuben/immunesystems.
    • (1999) Technical Report - RT DCA 01/99
    • De Castro, L.N.1    Von Zuben, F.J.2
  • 17
    • 84950235798 scopus 로고    scopus 로고
    • An evolutionary immune network for data clustering, neural networks
    • L.N. de Casto and F.J. Von Zuben, An evolutionary immune network for data clustering, Neural Networks, In Symposium on Sixth Brazilian, pp.84-89, 2000.
    • (2000) Symposium on Sixth Brazilian , pp. 84-89
    • De Casto, L.N.1    Von Zuben, F.J.2
  • 21
    • 34250766613 scopus 로고    scopus 로고
    • Kernel based fuzzy ant clustering with partition validity
    • DOI 10.1109/FUZZY.2006.1681695, 1681695, 2006 IEEE International Conference on Fuzzy Systems
    • Y. Gu and L.O. Hall. Kernel based fuzzy ant clustering with partition validity, In IEEE International Conference on Fuzzy Systems, pp.61-65, 2006. (Pubitemid 46948739)
    • (2006) IEEE International Conference on Fuzzy Systems , pp. 61-65
    • Yuhua, G.1    Hall, L.O.2
  • 23
    • 0032188320 scopus 로고    scopus 로고
    • Fuzzy clustering with evolutionary algorithms
    • F. Klawonn and A. Keller, Fuzzy clustering with evolutionary algorithms, In International Journal of Intelligent Systems, vol.13, pp.975-991, 1998. (Pubitemid 128608587)
    • (1998) International Journal of Intelligent Systems , vol.13 , Issue.10-11 , pp. 975-991
    • Klawonn, F.1    Keller, A.2
  • 28
    • 0015996789 scopus 로고
    • Immune activation of B cells: Evidence for 'one nonspecific triggering signal' not delivered by the ig receptors, scand
    • A. Coutinho and G. Möller, Immune Activation of B Cells: Evidence for 'One Nonspecific Triggering Signal' Not Delivered by the Ig Receptors, Scand. Journal of Immunology, pp.133-146, 1974.
    • (1974) Journal of Immunology , pp. 133-146
    • Coutinho, A.1    Möller, G.2
  • 31
    • 0015956495 scopus 로고
    • Towards a network theory of the immune system
    • N.K. Jerne, Towards a Network Theory of the Immune System, Ann. Immunology (Inst. Pasteur) 125C, pp.373-389, 1974a.
    • (1974) Ann. Immunology (Inst. Pasteur) , vol.125 C , pp. 373-389
    • Jerne, N.K.1
  • 32
    • 0016361601 scopus 로고
    • Clonal selection in a lymphocyte network
    • (Ed.) G.M. Edelman, Raven Press, N.Y.
    • N.K. Jerne, Clonal Selection in a Lymphocyte Network, In Cellular Selection and Regulation in the Immune Response, (Ed.) G.M. Edelman, Raven Press, N.Y., pp.39-48, 1974b.
    • (1974) Cellular Selection and Regulation in the Immune Response , pp. 39-48
    • Jerne, N.K.1
  • 33
    • 0027434805 scopus 로고
    • Somatic hypermutation in B cells: An optimal control treatment
    • T.B. Kepler and A.S. Perelson, Somatic Hypermutation in B Cells: An Optimal Control Treatment, Journal of Theoretical Biology, pp.37-64, 1993.
    • (1993) Journal of Theoretical Biology , pp. 37-64
    • Kepler, T.B.1    Perelson, A.S.2
  • 36
    • 0018567632 scopus 로고
    • Theoretical studies of clonal selection: Minimal antibody repertoire size and reliability of self-non-self discrimination
    • DOI 10.1016/0022-5193(79)90275-3
    • A.S. Perelsen and G.F. Oster, Theoretical Studies of Clonal Selection: Minimal Antibody Repertoire Size and Reliability of Self-Nonself Discrimination, Journal of Theoretical Biology, pp.645-670, 1979. (Pubitemid 10178990)
    • (1979) Journal of Theoretical Biology , vol.81 , Issue.4 , pp. 645-670
    • Perelson, A.S.1    Oster, G.F.2
  • 38
    • 0014534297 scopus 로고
    • A new approach to clustering
    • E.H. Ruspini, A new approach to clustering, Inf. Control 15, pp.22-32, 1969.
    • (1969) Inf. Control , vol.15 , pp. 22-32
    • Ruspini, E.H.1
  • 42
    • 0015644823 scopus 로고
    • Cluster validity with fuzzy sets
    • J.C. Bezdek, Cluster validity with fuzzy sets, Journal of. Cybernetics, pp.58-73, 1974a.
    • (1974) Journal Of. Cybernetics , pp. 58-73
    • Bezdek, J.C.1
  • 43
    • 0016206886 scopus 로고
    • Numerical taxonomy with fuzzy sets
    • J.C. Bezdek, Numerical taxonomy with fuzzy sets, Journal of Cybernetics, pp.57-71, 1974b.
    • (1974) Journal of Cybernetics , pp. 57-71
    • Bezdek, J.C.1
  • 46
    • 0000898845 scopus 로고
    • An analysis of variance test for normality
    • S.S. Shapiro and M.B. Wilk, An Analysis of Variance Test for Normality, Biometrika, vol.52, pp.591-611, 1965.
    • (1965) Biometrika , vol.52 , pp. 591-611
    • Shapiro, S.S.1    Wilk, M.B.2
  • 47
    • 84944811700 scopus 로고
    • The use of ranks to avoid the assumption of normality implicit in the analysis of variance
    • M. Friedman, The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance, Journal Am. Stat. Assn., vol.32, pp.675-701, 1937.
    • (1937) Journal Am. Stat. Assn. , vol.32 , pp. 675-701
    • Friedman, M.1
  • 48
    • 79960535211 scopus 로고    scopus 로고
    • A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms
    • J. Derrac, S. Garcia, D. Molina and F. Herrera, A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms, In Swarm and Evolutionary Computation, vol.1, pp.3-18, 2011.
    • (2011) Swarm and Evolutionary Computation , vol.1 , pp. 3-18
    • Derrac, J.1    Garcia, S.2    Molina, D.3    Herrera, F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.