메뉴 건너뛰기




Volumn 3, Issue 3, 2003, Pages 583-617

Cluster ensembles - A knowledge reuse framework for combining multiple partitions

Author keywords

Cluster analysis; Clustering; Consensus functions; Ensemble; Knowledge reuse; Multi learner systems; Mutual information; Partitioning; Unsupervised learning

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION ANALYSIS; OPTIMIZATION; REAL TIME SYSTEMS;

EID: 0041965980     PISSN: 15324435     EISSN: None     Source Type: Journal    
DOI: 10.1162/153244303321897735     Document Type: Conference Paper
Times cited : (4311)

References (64)
  • 1
    • 0029354779 scopus 로고
    • Recent directions in netlist partitioning: A survey
    • C. J. Alpert and A. B. Kahng. Recent directions in netlist partitioning: A survey. Integration: The VLSI Journal, 19:1-18, 1995.
    • (1995) Integration: The VLSI Journal , vol.19 , pp. 1-18
    • Alpert, C.J.1    Kahng, A.B.2
  • 2
    • 0019648059 scopus 로고
    • Computational methods for a mathematical theory of evidence
    • J.A. Barnett. Computational methods for a mathematical theory of evidence. In Proc. of IJCAI, pages 868-875, 1981.
    • (1981) Proc. of IJCAI , pp. 868-875
    • Barnett, J.A.1
  • 3
    • 0001298415 scopus 로고
    • On the use of ordered sets in problems of comparison and consensus of classifications
    • J. P. Barthelemy, B. Laclerc, and B. Monjardet. On the use of ordered sets in problems of comparison and consensus of classifications. Journal of Classification, 3:225-256, 1986.
    • (1986) Journal of Classification , vol.3 , pp. 225-256
    • Barthelemy, J.P.1    Laclerc, B.2    Monjardet, B.3
  • 7
    • 0033220769 scopus 로고    scopus 로고
    • Effective supra-classifiers for knowledge base construction
    • November
    • Kurt D. Bollacker and Joydeep Ghosh. Effective supra-classifiers for knowledge base construction. Pattern Recognition Letters, 20(11-13):1347-52, November 1999.
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1347-1352
    • Bollacker, K.D.1    Ghosh, J.2
  • 9
    • 85153936556 scopus 로고
    • Learning many related tasks at the same time with backpropagation
    • Rich Caruana. Learning many related tasks at the same time with backpropagation. In Advances in Neural Information Processing Systems 7, pages 657-664, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 657-664
    • Caruana, R.1
  • 10
    • 0030242043 scopus 로고    scopus 로고
    • Scale based clustering using a radial basis function network
    • Sept
    • S. V. Chakaravathy and J. Ghosh. Scale based clustering using a radial basis function network. IEEE Transactions on Neural Networks, 2(5):1250-61, Sept 1996.
    • (1996) IEEE Transactions on Neural Networks , vol.2 , Issue.5 , pp. 1250-1261
    • Chakaravathy, S.V.1    Ghosh, J.2
  • 12
    • 0004197578 scopus 로고
    • IEEE CS Press, Los Alamitos, CA
    • B. Dasarathy. Decision Fusion. IEEE CS Press, Los Alamitos, CA, 1994.
    • (1994) Decision Fusion
    • Dasarathy, B.1
  • 13
    • 0034824884 scopus 로고    scopus 로고
    • Concept decompositions for large sparse text data using clustering
    • January
    • I. S. Dhillon and D. S. Modha. Concept decompositions for large sparse text data using clustering. Machine Learning, 42(1):143-175, January 2001.
    • (2001) Machine Learning , vol.42 , Issue.1 , pp. 143-175
    • Dhillon, I.S.1    Modha, D.S.2
  • 14
    • 80053403826 scopus 로고    scopus 로고
    • Ensemble methods in machine learning
    • J. Kittler and F. Roll, editors. LNCS, Springer
    • T. G. Dietterich. Ensemble methods in machine learning. In J. Kittler and F. Roll, editors, Multiple Classifier Systems, pages 1-15. LNCS Vol. 1857, Springer, 2001.
    • (2001) Multiple Classifier Systems , vol.1857 , pp. 1-15
    • Dietterich, T.G.1
  • 17
    • 0029678997 scopus 로고    scopus 로고
    • Iterative optimization and simplification of hierarchical clusterings
    • Doug Fisher. Iterative optimization and simplification of hierarchical clusterings. Journal of Artificial Intelligence Research, 4:147-180, 1996.
    • (1996) Journal of Artificial Intelligence Research , vol.4 , pp. 147-180
    • Fisher, D.1
  • 18
    • 0001918328 scopus 로고
    • Stemming algorithms
    • W. Frakes and R. Baeza-Yates, editors. Prentice Hall, New Jersey
    • W. Frakes. Stemming algorithms. In W. Frakes and R. Baeza-Yates, editors, Information Retrieval: Data Structures and Algorithms, pages 131-160. Prentice Hall, New Jersey, 1992.
    • (1992) Information Retrieval: Data Structures and Algorithms , pp. 131-160
    • Frakes, W.1
  • 19
    • 33845229615 scopus 로고    scopus 로고
    • Data clustering using evidence accumulation
    • page to appear
    • A. L. N. Fred and A. K. Jain. Data clustering using evidence accumulation. In Proc. ICPR, page to appear, 2002.
    • (2002) Proc. ICPR
    • Fred, A.L.N.1    Jain, A.K.2
  • 23
    • 84925487039 scopus 로고    scopus 로고
    • Multiclassifier systems: Back to the future (invited paper)
    • F. Roli and J. Kittler, editors. LNCS, Springer
    • J. Ghosh. Multiclassifier systems: Back to the future (invited paper). In F. Roli and J. Kittler, editors, Multiple Classifier Systems, pages 1-15. LNCS Vol. 2364, Springer, 2002b.
    • (2002) Multiple Classifier Systems , vol.2364 , pp. 1-15
    • Ghosh, J.1
  • 25
    • 84984516669 scopus 로고
    • Combining forecasts-twenty years later
    • C. W. J. Granger. Combining forecasts-twenty years later. Journal of Forecasting, 8(3): 167-173, 1989.
    • (1989) Journal of Forecasting , vol.8 , Issue.3 , pp. 167-173
    • Granger, C.W.J.1
  • 26
    • 0007286894 scopus 로고    scopus 로고
    • Clustering in a highdimensional space using hypergraph models
    • University of Minnesota, Department of Computer Science
    • E. Han, G. Karypis, V. Kumar, and B. Mobasher. Clustering in a highdimensional space using hypergraph models. Technical Report 97-019, University of Minnesota, Department of Computer Science, 1997.
    • (1997) Technical Report , vol.97 , Issue.19
    • Han, E.1    Karypis, G.2    Kumar, V.3    Mobasher, B.4
  • 28
    • 0015680655 scopus 로고
    • Clustering using a similarity measure based on shared nearest neighbors
    • R. A. Jarvis and E. A. Patrick. Clustering using a similarity measure based on shared nearest neighbors. IEEE Transactions on Computers, C-22, No. 11:1025-1034, 1973.
    • (1973) IEEE Transactions on Computers , vol.C-22 , Issue.11 , pp. 1025-1034
    • Jarvis, R.A.1    Patrick, E.A.2
  • 29
    • 84949523513 scopus 로고    scopus 로고
    • Collective, hierarchical clustering from distributed, heterogeneous data
    • M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems. Springer-Verlag
    • E. Johnson and H. Kargupta. Collective, hierarchical clustering from distributed, heterogeneous data. In M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems, volume 1759 of Lecture Notes in Computer Science, pages 221-244. Springer-Verlag, 1999.
    • (1999) Lecture Notes in Computer Science , vol.1759 , pp. 221-244
    • Johnson, E.1    Kargupta, H.2
  • 34
    • 0032686723 scopus 로고    scopus 로고
    • Chameleon: Hierarchical clustering using dynamic modeling
    • August
    • G. Karypis, E.-H. Han, and V. Kumar. Chameleon: Hierarchical clustering using dynamic modeling. IEEE Computer, 32(8):68-75, August 1999.
    • (1999) IEEE Computer , vol.32 , Issue.8 , pp. 68-75
    • Karypis, G.1    Han, E.-H.2    Kumar, V.3
  • 35
    • 0032131147 scopus 로고    scopus 로고
    • A fast and high quality multilevel scheme for partitioning irregular graphs
    • G. Karypis and V. Kumar. A fast and high quality multilevel scheme for partitioning irregular graphs. SIAM Journal on Scientific Computing, 20(1):359-392, 1998.
    • (1998) SIAM Journal on Scientific Computing , vol.20 , Issue.1 , pp. 359-392
    • Karypis, G.1    Kumar, V.2
  • 37
    • 23044531296 scopus 로고    scopus 로고
    • Consensus decision trees: Using consensus hierarchical clustering for data relabelling and reduction
    • Proceedings of ECML 2001. Springer
    • Branko Kavšek, Nada Lavrač, and Anuška Ferligoj. Consensus decision trees: Using consensus hierarchical clustering for data relabelling and reduction. In Proceedings of ECML 2001, volume 2167 of LNAI, pages 251-262. Springer, 2001.
    • (2001) LNAI , vol.2167 , pp. 251-262
    • Kavšek, B.1    Lavrač, N.2    Ferligoj, A.3
  • 38
    • 84990479742 scopus 로고
    • An efficient heuristic procedure for partitioning graphs
    • B. Kernighan and S. Lin. An efficient heuristic procedure for partitioning graphs. Bell Systems Technical Journal, 49:291-307, 1970.
    • (1970) Bell Systems Technical Journal , vol.49 , pp. 291-307
    • Kernighan, B.1    Lin, S.2
  • 40
    • 0007729457 scopus 로고    scopus 로고
    • Multiple classifier systems
    • Springer
    • J. Kittler and F. Roli, editors. Multiple Classifier Systems. LNCS Vol. 2634, Springer, 2002.
    • (2002) LNCS , vol.2634
    • Kittler, J.1    Roli, F.2
  • 41
    • 0003410791 scopus 로고
    • Springer, Berlin, Heidelberg. Second Extended Edition 1997
    • Teuvo Kohonen. Self-Organizing Maps. Springer, Berlin, Heidelberg, 1995. (Second Extended Edition 1997).
    • (1995) Self-Organizing Maps
    • Kohonen, T.1
  • 42
    • 85054435084 scopus 로고
    • Neural network ensembles, cross validation and active learning
    • D.S. Touretzky G. Tesauro and T.K. Leen, editors
    • A. Krogh and J. Vedelsby. Neural network ensembles, cross validation and active learning. In D.S. Touretzky G. Tesauro and T.K. Leen, editors, Advances in Neural Information Processing Systems-7, pages 231-238, 1995.
    • (1995) Advances in Neural Information Processing Systems-7 , pp. 231-238
    • Krogh, A.1    Vedelsby, J.2
  • 43
    • 0012296090 scopus 로고    scopus 로고
    • Multi-viewpoint clustering analysis (mvp-ca) technology for mission rule set development and case-based retrieval
    • Air Force Research Laboratory
    • Mala Mehrotra. Multi-viewpoint clustering analysis (mvp-ca) technology for mission rule set development and case-based retrieval. Technical Report AFRL-VS-TR-1999-1029, Air Force Research Laboratory, 1999.
    • (1999) Technical Report , vol.AFRL-VS-TR-1999-1029
    • Mehrotra, M.1
  • 46
    • 0000064923 scopus 로고
    • Clustering and isolation in the consensus problem for partitions
    • D. A. Neumann and V. T. Norton. Clustering and isolation in the consensus problem for partitions. Journal of Classification, 3:281-298, 1986a.
    • (1986) Journal of Classification , vol.3 , pp. 281-298
    • Neumann, D.A.1    Norton, V.T.2
  • 50
    • 0041802527 scopus 로고
    • Experiments on the transfer of knowledge between neural networks
    • S. Hanson, G. Drastal, and R. Rivest, editors, chapter 19. MIT Press
    • Lorien Y. Pratt. Experiments on the transfer of knowledge between neural networks. In S. Hanson, G. Drastal, and R. Rivest, editors, Computational Learning Theory and Natural Learning Systems, Constraints and Prospects, chapter 19, pages 523-560. MIT Press, 1994.
    • (1994) Computational Learning Theory and Natural Learning Systems, Constraints and Prospects , pp. 523-560
    • Pratt, L.Y.1
  • 51
    • 0002522158 scopus 로고    scopus 로고
    • Meta-learning in distributed data mining systems: Issues and approaches
    • H. Kargupta and P. Chan, editors. AAAI/MIT Press, Cambridge, MA
    • A. Prodromidis, P. Chan, and S. Stolfo. Meta-learning in distributed data mining systems: Issues and approaches. In H. Kargupta and P. Chan, editors, Advances in Distributed and Parallel Knowledge Discovery. AAAI/MIT Press, Cambridge, MA, 2000.
    • (2000) Advances in Distributed and Parallel Knowledge Discovery
    • Prodromidis, A.1    Chan, P.2    Stolfo, S.3
  • 52
    • 0001595997 scopus 로고
    • Neural network classifiers estimate bayesian a posteriori probabilities
    • M.D. Richard and R.P. Lippmann. Neural network classifiers estimate bayesian a posteriori probabilities. Neural Computation, 3(4):461-483, 1991.
    • (1991) Neural Computation , vol.3 , Issue.4 , pp. 461-483
    • Richard, M.D.1    Lippmann, R.P.2
  • 53
    • 0030372023 scopus 로고    scopus 로고
    • On combining artificial neural networks
    • A. Sharkey. On combining artificial neural networks. Connection Science, 8(3/4):299-314, 1996.
    • (1996) Connection Science , vol.8 , Issue.3-4 , pp. 299-314
    • Sharkey, A.1
  • 56
    • 84899004693 scopus 로고    scopus 로고
    • Agglomerative information bottleneck
    • MIT Press
    • N. Slonim and N. Tishby. Agglomerative information bottleneck. In Proc. of NIPS-12, pages 617-623. MIT Press, 2000.
    • (2000) Proc. of NIPS-12 , pp. 617-623
    • Slonim, N.1    Tishby, N.2
  • 57
    • 0036931833 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining partitionings
    • AAAI, July
    • A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining partitionings. In Proceedings of AAAI 2002, Edmonton, Canada, pages 93-98. AAAI, July 2002a.
    • (2002) Proceedings of AAAI 2002, Edmonton, Canada , pp. 93-98
    • Strehl, A.1    Ghosh, J.2
  • 58
    • 84947579437 scopus 로고    scopus 로고
    • A scalable approach to balanced, high-dimensional clustering of market-baskets
    • Proc. HiPC 2000, Bangalore. Springer, December
    • Alexander Strehl and Joydeep Ghosh. A scalable approach to balanced, high-dimensional clustering of market-baskets. In Proc. HiPC 2000, Bangalore, volume 1970 of LNCS, pages 525-536. Springer, December 2000.
    • (2000) LNCS , vol.1970 , pp. 525-536
    • Strehl, A.1    Ghosh, J.2
  • 59
    • 2542587466 scopus 로고    scopus 로고
    • Relationship-based clustering and visualization for high-dimensional data mining
    • in press
    • Alexander Strehl and Joydeep Ghosh. Relationship-based clustering and visualization for high-dimensional data mining. INFORMS Journal on Computing, 2002b. in press.
    • (2002) INFORMS Journal on Computing
    • Strehl, A.1    Ghosh, J.2
  • 61
    • 85031124575 scopus 로고    scopus 로고
    • Is learning the n-th thing any easier than learning the first?
    • M.C. Mozer D.S. Touretzky and M. E. Hasselmo, editors. MIT Press, Cambridge, MA
    • S. Thrun. Is learning the n-th thing any easier than learning the first? In M.C. Mozer D.S. Touretzky and M. E. Hasselmo, editors, Advances in Neural Information Processing Systems-8, pages 640-646. MIT Press, Cambridge, MA, 1996.
    • (1996) Advances in Neural Information Processing Systems-8 , pp. 640-646
    • Thrun, S.1
  • 64
    • 0001562581 scopus 로고    scopus 로고
    • Linear and order statistics combiners for pattern classification
    • A. Sharkey, editor. Springer-Verlag
    • K. Turner and J. Ghosh. Linear and order statistics combiners for pattern classification. In A. Sharkey, editor, Combining Artificial Neural Nets, pages 127-162. Springer-Verlag, 1999.
    • (1999) Combining Artificial Neural Nets , pp. 127-162
    • Turner, K.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.