메뉴 건너뛰기




Volumn 27, Issue 2, 2013, Pages

Optimizing fuzzy cluster ensemble in string representation

Author keywords

Fuzzy cluster ensemble; genetic algorithm; nonlinear objective function; optimization

Indexed keywords

CROSSOVER AND MUTATION; CROSSOVER OPERATOR; EXPLORATION AND EXPLOITATION; FUZZY CLUSTERS; MODIFIED GENETIC ALGORITHMS; MULTIPLE STANDARDS; NONLINEAR OBJECTIVE FUNCTIONS; OBJECTIVE FUNCTIONS;

EID: 84878306591     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001413500055     Document Type: Article
Times cited : (34)

References (34)
  • 3
    • 78651300615 scopus 로고    scopus 로고
    • Solving cluster ensemble problems by correlation's matrix & GA
    • M. Analoui and N. Sadighian, Solving cluster ensemble problems by correlation's matrix & GA, IFIP Int. Fed. Inform. Process. 228 (2006) 227-231.
    • (2006) IFIP Int. Fed. Inform. Process. , vol.228 , pp. 227-231
    • Analoui, M.1    Sadighian, N.2
  • 4
    • 36448962361 scopus 로고    scopus 로고
    • Cumulative voting consensus method for partitions with a variable number of clusters
    • H. G. Ayad and M. S. Kamel, Cumulative voting consensus method for partitions with a variable number of clusters, IEEE Trans. Pattern Anal. Mach. Intell. 30(1) (2008) 160-173.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.1 , pp. 160-173
    • Ayad, H.G.1    Kamel, M.S.2
  • 6
    • 78650512354 scopus 로고    scopus 로고
    • Coordination of cluster ensembles via exact methods
    • I. T. Christou, Coordination of cluster ensembles via exact methods, IEEE Trans. Pattern Anal. Mach. Intell. 33(2) (2011) 279-293.
    • (2011) IEEE Trans. Pattern Anal. Mach. Intell. , vol.332 , pp. 279-293
    • Christou, I.T.1
  • 7
    • 0033296944 scopus 로고    scopus 로고
    • An interior point algorithm for minimum sum of squares clustering
    • O. Du Merle, P. Hansen, B. Jaumard and N. Mladenovich, An interior point algorithm for minimum sum of squares clustering, SIAM J. Sci. Comput. 21(4) (2000) 1484-1505.
    • (2000) SIAM J. Sci. Comput. , vol.21 , Issue.4 , pp. 1484-1505
    • Du Merle, O.1    Hansen, P.2    Jaumard, B.3    Mladenovich, N.4
  • 8
    • 72449173699 scopus 로고    scopus 로고
    • Cluster ensemble selection statis
    • X. Fern and W. Lin, Cluster ensemble selection, Statis. Anal. Data Mining 1(3) (2008) 128-141.
    • (2008) Anal. Data Mining , vol.1 , Issue.3 , pp. 128-141
    • Fern, X.1    Lin, W.2
  • 9
    • 21244468777 scopus 로고    scopus 로고
    • Combining multiple clusterings using evidence accumulation
    • A. Fred and A. K. Jain, Combining multiple clusterings using evidence accumulation, IEEE Trans. Pattern Anal. Mach. Intell. 27(6) (2005) 835-850.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.6 , pp. 835-850
    • Fred, A.1    Jain, A.K.2
  • 10
    • 80052050839 scopus 로고    scopus 로고
    • Consensus of partitions: A constructive approach
    • A. Guénoche, Consensus of partitions: A constructive approach, Adv. Data Anal. Classification 5(3) (2011) 215-229.
    • (2011) Adv. Data Anal. Classification , vol.5 , Issue.3 , pp. 215-229
    • Guénoche, A.1
  • 12
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond K-means
    • A. K. Jain, Data clustering: 50 years beyond k-means, Pattern Recog. Lett. 31(8) (2009) 651-666.
    • (2009) Pattern Recog. Lett. , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 14
    • 79960705269 scopus 로고    scopus 로고
    • Application of a genetic algorithm for the optimization of a complex reservoir system in Tunisia, Water Resources Management
    • M. H. Louati, S. Benabdallah, F. Lebdi and D. Milutin, Application of a genetic algorithm for the optimization of a complex reservoir system in Tunisia, Water Resources Management, Earth Environ. Sci. 25(10) (2011) 2387-2404.
    • (2011) Earth Environ. Sci. , vol.25 , Issue.10 , pp. 2387-2404
    • Louati, M.H.1    Benabdallah, S.2    Lebdi, F.3    Milutin, D.4
  • 16
    • 84863972251 scopus 로고    scopus 로고
    • Effects of resampling method and adaptation on clustering ensemble efficacy
    • B. Minaei-Bidgoli, H. Parvin, H. Alinejad-Rokny, H. Alizadeh and W. F. Punch, Effects of resampling method and adaptation on clustering ensemble efficacy, Artif. Intell. Rev. (2011) 1-22. Available at http://link.springer. com/article/10.1007%2Fs10462-011-9295-x?LI=true.
    • (2011) Artif. Intell. Rev. , pp. 1-22
    • Minaei-Bidgoli, B.1    Parvin, H.2    Alinejad-Rokny, H.3    Alizadeh, H.4    Punch, W.F.5
  • 17
    • 84862785926 scopus 로고    scopus 로고
    • A robust adaptive clustering analysis method for automatic identification of clusters
    • P. Y. Mok, H. Q. Huang, Y. L. Kwok and J. S. Au, A robust adaptive clustering analysis method for automatic identification of clusters, Pattern Recog. 45(8) (2012) 3017-3033.
    • (2012) Pattern Recog. , vol.45 , Issue.8 , pp. 3017-3033
    • Mok, P.Y.1    Huang, H.Q.2    Kwok, Y.L.3    Au, J.S.4
  • 18
    • 0002223982 scopus 로고
    • Algorithms for the assignment and transportation problems
    • J. Munkres, Algorithms for the assignment and transportation problems, J. Soc. Industrial Appl. Math. 5(1) (1957) 32-38.
    • (1957) J. Soc. Industrial Appl. Math. , vol.5 , Issue.1 , pp. 32-38
    • Munkres, J.1
  • 21
    • 79951788394 scopus 로고    scopus 로고
    • A performance study of a consensus clustering algorithm and properties of partition graph
    • P. R. Rao and J. P. P. Da Costa, A performance study of a consensus clustering algorithm and properties of partition graph, Proc. of ICCIC 2010 (2010), pp 1-5.
    • (2010) Proc. of ICCIC , vol.2010 , pp. 1-5
    • Rao, P.R.1    Da Costa, J.P.P.2
  • 23
    • 33750304825 scopus 로고    scopus 로고
    • A genetic k-medoids clustering algorithm
    • W. Sheng and X. Liu, A genetic k-medoids clustering algorithm, J. Heuristics 12 (2006) 447-466.
    • (2006) J. Heuristics , vol.12 , pp. 447-466
    • Sheng, W.1    Liu, X.2
  • 24
    • 69249221444 scopus 로고    scopus 로고
    • A niching genetic k-means algorithm and its applications to gene expression data, Soft Computing-A Fusion of Foundations
    • W. Sheng, A. Tucker and X. Liu, A niching genetic k-means algorithm and its applications to gene expression data, Soft Computing-A Fusion of Foundations, Methodol. Appl. 14(1) (2010) 9-19.
    • (2010) Methodol. Appl. , vol.14 , Issue.1 , pp. 9-19
    • Sheng, W.1    Tucker, A.2    Liu, X.3
  • 25
    • 79951788461 scopus 로고    scopus 로고
    • Ensemble clustering using semidefinite programming with applications
    • V. Singh, L. Mukherjee, J. Peng and J. Xu, Ensemble clustering using semidefinite programming with applications, Mach. Learn 79 (2010) 177-200.
    • (2010) Mach. Learn , vol.79 , pp. 177-200
    • Singh, V.1    Mukherjee, L.2    Peng, J.3    Xu, J.4
  • 26
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles-a knowledge reuse framework for combining multiple partitions
    • A. Strehl and J. Ghosh, Cluster ensembles-a knowledge reuse framework for combining multiple partitions, J. Mach. Learn. Res. 3 (2002) 583-617.
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 29
    • 0012255401 scopus 로고    scopus 로고
    • The inversion of 3-D crustal structure and hypocenter location in the Beijing-Tianjin-Tangshan-Zhangjiakou area by genetic algorithm
    • Y. G. Wan, R. F. Liu and H. J. Li, The inversion of 3-D crustal structure and hypocenter location in the Beijing-Tianjin-Tangshan-Zhangjiakou area by genetic algorithm, Acta Seismologica Sinica 10(6) (1997) 769-781.
    • (1997) Acta Seismologica Sinica , vol.10 , Issue.6 , pp. 769-781
    • Wan, Y.G.1    Liu, R.F.2    Li, H.J.3
  • 30
    • 79952189159 scopus 로고    scopus 로고
    • Novel evolutionary algorithms for supervised classification problems: An experimental study
    • P. Wang T. Weise and R. Chiong, Novel evolutionary algorithms for supervised classification problems: An experimental study, Evolutionary Intell. 4(1) (2011) 3-16.
    • (2011) Evolutionary Intell. , vol.41 , pp. 3-16
    • Wang, P.1    Weise, T.2    Chiong, R.3
  • 31
    • 84867097038 scopus 로고    scopus 로고
    • Minimizing group discordance optimization model for deriving expert weights
    • Z. Xu and X. Cai, Minimizing group discordance optimization model for deriving expert weights, Group Decision Negotiation 21(6) (2011) 863-875.
    • (2011) Group Decision Negotiation , vol.21 , Issue.6 , pp. 863-875
    • Xu, Z.1    Cai, X.2
  • 32
    • 33745771946 scopus 로고    scopus 로고
    • Heterogeneous clustering ensemble method for combining different cluster results
    • H. S. Yoon, S. Y. Ahn, S. H. Lee, S. B. Cho and J. H. Kim, Heterogeneous clustering ensemble method for combining different cluster results, BioDM06, LNBI3916 (2006a), pp. 82-92.
    • (2006) BioDM06, LNBI3916 , pp. 82-92
    • Yoon, H.S.1    Ahn, S.Y.2    Lee, S.H.3    Cho, S.B.4    Kim, J.H.5
  • 33
    • 33750709733 scopus 로고    scopus 로고
    • A novel framework for discovering robust cluster results
    • H. S. Yoon, S. H. Lee, S. B. Cho and J. H. Kim, A novel framework for discovering robust cluster results, DS06, LNAI4265 (2006b), pp. 373-377.
    • (2006) DS06, LNAI4265 , pp. 373-377
    • Yoon, H.S.1    Lee, S.H.2    Cho, S.B.3    Kim, J.H.4
  • 34
    • 33745684424 scopus 로고    scopus 로고
    • Modeling of binocular vision system for 3D reconstruction with improved genetic algorithms
    • K. Zhang, B. Xu, L. Tang and H. Shi, Modeling of binocular vision system for 3D reconstruction with improved genetic algorithms, Int. J. Adv. Manuf. Technol. 29(7) (2006) 722-728.
    • (2006) Int. J. Adv. Manuf. Technol. , vol.29 , Issue.7 , pp. 722-728
    • Zhang, K.1    Xu, B.2    Tang, L.3    Shi, H.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.