메뉴 건너뛰기




Volumn 27, Issue 1, 2015, Pages 155-169

K-means-based consensus clustering: A unified view

Author keywords

Consensus clustering; K means; Utility function

Indexed keywords

CLUSTERING QUALITY; CONSENSUS CLUSTERING; HETEROGENEOUS DATA; INCOMPLETE DATA SETS; K-MEANS; STATE-OF-THE-ART METHODS; UNIFIED FRAMEWORK; UTILITY FUNCTIONS;

EID: 84916940648     PISSN: 10414347     EISSN: None     Source Type: Journal    
DOI: 10.1109/TKDE.2014.2316512     Document Type: Article
Times cited : (211)

References (35)
  • 1
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining partitions
    • A. Strehl and J. Ghosh, "Cluster ensembles - A knowledge reuse framework for combining partitions," J. Mach. Learn. Res., vol. 3, pp. 583-617, 2002.
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 3
    • 30144442247 scopus 로고    scopus 로고
    • Clustering ensembles: Models of consensus and weak partitions
    • Dec.
    • A. Topchy, A. Jain, and W. Punch, "Clustering ensembles: Models of consensus and weak partitions," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 12, pp. 1866-1881, Dec. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.12 , pp. 1866-1881
    • Topchy, A.1    Jain, A.2    Punch, W.3
  • 4
    • 21244468777 scopus 로고    scopus 로고
    • Combining multiple clusterings using evidence accumulation
    • Jun.
    • A. Fred and A. Jain, "Combining multiple clusterings using evidence accumulation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 6, pp. 835-850, Jun. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.6 , pp. 835-850
    • Fred, A.1    Jain, A.2
  • 6
    • 0037963197 scopus 로고    scopus 로고
    • Path-based clustering for grouping of smooth curves and texture segmentation
    • Apr.
    • R. Fischer and J. Buhmann, "Path-based clustering for grouping of smooth curves and texture segmentation," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 4, pp. 513-518, Apr. 2003.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell. , vol.25 , Issue.4 , pp. 513-518
    • Fischer, R.1    Buhmann, J.2
  • 7
    • 49749129595 scopus 로고    scopus 로고
    • Solving consensus and semisupervised clustering problems using nonnegative matrix factorization
    • T. Li, D. Chris, and I. J. Michael, "Solving consensus and semisupervised clustering problems using nonnegative matrix factorization," in Proc. 7th IEEE Int. Conf. Data Mining, 2007, pp. 577-582.
    • Proc. 7th IEEE Int. Conf. Data Mining, 2007 , pp. 577-582
    • Li, T.1    Chris, D.2    Michael, I.J.3
  • 13
    • 58249083744 scopus 로고    scopus 로고
    • Clustering aggregation by probability accumulation
    • X. Wang, C. Yang, and J. Zhou, "Clustering aggregation by probability accumulation," Pattern Recog., vol. 42, no. 5, pp. 668-675, 2009.
    • (2009) Pattern Recog , vol.42 , Issue.5 , pp. 668-675
    • Wang, X.1    Yang, C.2    Zhou, J.3
  • 14
    • 36448962361 scopus 로고    scopus 로고
    • Cumulative voting consensus method for partitions with variable number of clusters
    • Jan.
    • H. G. Ayad and M. S. Kamel, "Cumulative voting consensus method for partitions with variable number of clusters," IEEE Trans. Pattern Anal. Mach. Intell., vol. 30, no. 1, pp. 160-173, Jan. 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. Intell. , vol.30 , Issue.1 , pp. 160-173
    • Ayad, H.G.1    Kamel, M.S.2
  • 15
    • 67549123292 scopus 로고    scopus 로고
    • Weighted cluster ensembles: Methods and analysis
    • C. Domeniconi and M. Al Razgan, "Weighted cluster ensembles: Methods and analysis," ACM Trans. Knowl. Discovery Data, vol. 2, no. 4, pp. 17:1-17:40, 2009.
    • (2009) ACM Trans. Knowl. Discovery Data , vol.2 , Issue.4 , pp. 17:1-17:40
    • Domeniconi, C.1    Al Razgan, M.2
  • 16
    • 49749128817 scopus 로고    scopus 로고
    • Consensus-based ensembles of soft clusterings
    • K. Punera and J. Ghosh, "Consensus-based ensembles of soft clusterings," Appl. Artif. Intell., vol. 22, no. 7-8, pp. 780-810, 2008.
    • (2008) Appl. Artif. Intell. , vol.22 , Issue.7-8 , pp. 780-810
    • Punera, K.1    Ghosh, J.2
  • 18
    • 84879569686 scopus 로고
    • The problems of approximation in spaces of relationship and qualitative data analysis
    • B. Mirkin, "The problems of approximation in spaces of relationship and qualitative data analysis," Inform. Remote Control, vol. 35, pp. 1424-1431, 1974.
    • (1974) Inform. Remote Control , vol.35 , pp. 1424-1431
    • Mirkin, B.1
  • 19
    • 34248160315 scopus 로고    scopus 로고
    • Integrating microarray data by consensus clustering
    • V. Filkov and S. Steven, "Integrating microarray data by consensus clustering," Int. J. Artif. Intell. Tools, vol. 13, no. 4, pp. 863-880, 2004.
    • (2004) Int. J. Artif. Intell. Tools , vol.13 , Issue.4 , pp. 863-880
    • Filkov, V.1    Steven, S.2
  • 22
    • 0042763812 scopus 로고    scopus 로고
    • Reinterpreting the category utility function
    • Nov.
    • B. Mirkin, "Reinterpreting the category utility function," Mach. Learn., vol. 45, no. 2, pp. 219-228, Nov. 2001.
    • (2001) Mach. Learn. , vol.45 , Issue.2 , pp. 219-228
    • Mirkin, B.1
  • 24
  • 25
    • 38549122250 scopus 로고    scopus 로고
    • Combining multiple clusterings using information theory based genetic algorithm
    • H. Luo, F. Jing, and X. Xie, "Combining multiple clusterings using information theory based genetic algorithm," in Proc. Int. Conf. Comput. Intell. Security, 2006, vol. 1, pp. 84-89.
    • (2006) Proc. Int. Conf. Comput. Intell. Security , vol.1 , pp. 84-89
    • Luo, H.1    Jing, F.2    Xie, X.3
  • 26
    • 77956770604 scopus 로고    scopus 로고
    • On combining multiple clusterings: An overview and a new perspective
    • T. Li, M. M. Ogihara, and S. Ma, "On combining multiple clusterings: an overview and a new perspective," Appl. Intell., vol. 32, no. 2, pp. 207-219, 2010.
    • (2010) Appl. Intell. , vol.32 , Issue.2 , pp. 207-219
    • Li, T.1    Ogihara, M.M.2    Ma, S.3
  • 28
    • 33846486102 scopus 로고    scopus 로고
    • A unified continuous optimization framework for center-based clustering methods
    • Teboulle, "A unified continuous optimization framework for center-based clustering methods," J. Mach. Learn. Res., vol. 8, pp. 65-102, 2007.
    • (2007) J. Mach. Learn. Res. , vol.8 , pp. 65-102
    • Teboulle1
  • 30
    • 49949144765 scopus 로고
    • The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming
    • L. Bregman, "The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming," USSR Comput. Math. Math. Phys., vol. 7, pp. 200-217, 1967.
    • (1967) USSR Comput. Math. Math. Phys. , vol.7 , pp. 200-217
    • Bregman, L.1
  • 32
    • 23744473964 scopus 로고    scopus 로고
    • On the optimality of conditional expectation as a bregman predictor
    • A. Banerjee, X. Guo, and H. Wang, "On the optimality of conditional expectation as a bregman predictor," IEEE Trans. Inform. Theory, vol. 51, no. 7, pp. 2664-2669, 2005.
    • (2005) IEEE Trans. Inform. Theory , vol.51 , Issue.7 , pp. 2664-2669
    • Banerjee, A.1    Guo, X.2    Wang, H.3
  • 33
    • 84885576449 scopus 로고    scopus 로고
    • A generalization of distance functions for fuzzy c-means clustering with centroids of arithmetic means
    • Jun.
    • J. Wu, H. Xiong, C. Liu, and J. Chen, "A generalization of distance functions for fuzzy c-means clustering with centroids of arithmetic means," IEEE Trans. Fuzzy Syst., vol. 20, no. 3, pp. 557-571, Jun. 2012.
    • (2012) IEEE Trans. Fuzzy Syst. , vol.20 , Issue.3 , pp. 557-571
    • Wu, J.1    Xiong, H.2    Liu, C.3    Chen, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.