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Volumn 18, Issue 1, 2010, Pages 27-39

A novel hierarchical-clustering-combination scheme based on fuzzy-similarity relations

Author keywords

Clustering combination; Dendrogram descriptor; Fuzzy equivalence relation; Hierarchical clustering; Min transitive closure; Ultrametric property

Indexed keywords

CLUSTERING COMBINATION; DENDROGRAMS; DESCRIPTORS; EQUIVALENCE RELATIONS; HIER-ARCHICAL CLUSTERING; TRANSITIVE CLOSURE;

EID: 76849100191     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/TFUZZ.2009.2034531     Document Type: Article
Times cited : (74)

References (65)
  • 1
    • 35248893423 scopus 로고    scopus 로고
    • Finding Natural clusters using multi-clusterer combiner based on shared nearest neighbors
    • (Lecture Notes in Computer Science 2709), T. Windeatt and F. Roli, Eds. Guildford, U.K.: Springer-Verlag
    • H. Ayad and M. Kamel, "Finding Natural clusters using multi-clusterer combiner based on shared nearest neighbors," in Proc. 4th Int. Workshop Multiple Classifier Syst. (Lecture Notes in Computer Science 2709), T. Windeatt and F. Roli, Eds. Guildford, U.K.: Springer-Verlag, 2003, pp. 166-175.
    • (2003) Proc. 4th Int. Workshop Multiple Classifier Syst , pp. 166-175
    • Ayad, H.1    Kamel, M.2
  • 2
    • 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., vol.30, no.1, pp. 160-173, Jan. 2008.
    • (2008) IEEE Trans. Pattern Anal. Mach. , vol.30 , Issue.1 , pp. 160-173
    • Ayad, H.G.1    Kamel, M.S.2
  • 3
    • 34548032601 scopus 로고    scopus 로고
    • On constructing an optimal consensus clustering from multiple clusterings
    • P. Berman, B. D. Gupta, M. Y. Kao, and J. Wang, "On constructing an optimal consensus clustering from multiple clusterings," Inf. Process. Lett., vol.104, no.4, pp. 137-145, 2007.
    • (2007) Inf. Process. Lett. , vol.104 , Issue.4 , pp. 137-145
    • Berman, P.1    Gupta, B.D.2    Kao, M.Y.3    Wang, J.4
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman, "Bagging predictors," Mach. Learn., vol.24, no.2, pp. 123- 140, 1996.
    • (1996) Mach. Learn. , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 5
    • 33847142393 scopus 로고    scopus 로고
    • A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment
    • R. J. G. B. Campello, "A fuzzy extension of the Rand index and other related indexes for clustering and classification assessment," Pattern Recognit. Lett., vol.28, no.7, pp. 833-841, 2007.
    • (2007) Pattern Recognit. Lett. , vol.28 , Issue.7 , pp. 833-841
    • Campello, R.J.G.B.1
  • 6
    • 11144337781 scopus 로고    scopus 로고
    • On the min-transitive approximation of symmetric fuzzy relations
    • Budapest, Hungary vol.1
    • P. Dawyndt, H. D.Meyer, and B. D. Baets, "On the min-transitive approximation of symmetric fuzzy relations," in Proc. IEEE Int. Conf. Fuzzy Syst., vol.1, Budapest, Hungary, 2004, vol.1, pp. 167-171.
    • (2004) Proc. IEEE Int. Conf. Fuzzy Syst. , vol.1 , pp. 167-171
    • Dawyndt, P.1    Meyer, H.D.2    Baets, B.D.3
  • 7
    • 2942723846 scopus 로고    scopus 로고
    • A divisive information-theoretic feature clustering algorithm for text classification
    • I. S. Dhillon, S. Mallela, and R. Kumar, "A divisive information-theoretic feature clustering algorithm for text classification, " J. Mach. Learn. Res., vol.3, pp. 1265-1287, 2003.
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 1265-1287
    • Dhillon, I.S.1    Mallela, S.2    Kumar, R.3
  • 8
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of clustering procedure
    • S.Dudoit and J. Fridlyand, "Bagging to improve the accuracy of clustering procedure," Bioinform., vol.19, no.9, pp. 1090-1099, 2003.
    • (2003) Bioinform , vol.19 , Issue.9 , pp. 1090-1099
    • Dudoit, S.1    Fridlyand, J.2
  • 9
    • 0016046280 scopus 로고
    • Some recent investigations of a new fuzzy partitioning algorithm and its application to pattern classification problems
    • J. C. Dunn, "Some recent investigations of a new fuzzy partitioning algorithm and its application to pattern classification problems," J. Cybern., vol.4, pp. 1-15, 1974.
    • (1974) J. Cybern. , vol.4 , pp. 1-15
    • Dunn, J.C.1
  • 10
    • 14344258244 scopus 로고    scopus 로고
    • Solving cluster ensemble problems by bipartite graph partitioning
    • X. Z. Fern and C. E. Brodley, "Solving cluster ensemble problems by bipartite graph partitioning," in Proc. 21st Int. Conf. Mach. Learn., 2004, vol.69, p. 36.
    • (2004) Proc. 21st Int. Conf. Mach. Learn. , vol.69 , pp. 36
    • Fern, X.Z.1    Brodley, C.E.2
  • 12
    • 84957012677 scopus 로고    scopus 로고
    • Finding consistent clusters in data partitions
    • (Lecture Notes in Computer Science 2096), F. Roli and J. Kittler, Eds. Cambridge, U.K.: Springer-Verlag
    • A. Fred, "Finding consistent clusters in data partitions," in Proc. 2nd Int. Workshop Multiple Classifier Syst. (Lecture Notes in Computer Science 2096), F. Roli and J. Kittler, Eds. Cambridge, U.K.: Springer-Verlag, 2001, pp. 309-318.
    • (2001) Proc. 2nd Int. Workshop Multiple Classifier Syst. , pp. 309-318
    • Fred, A.1
  • 15
    • 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., 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.K.2
  • 17
    • 38249008055 scopus 로고
    • An algorithm for computing the transitive closure of a fuzzy similarity matrix
    • G. Fu, "An algorithm for computing the transitive closure of a fuzzy similarity matrix," Fuzzy Sets Syst., vol.51, pp. 189-194, 1992.
    • (1992) Fuzzy Sets Syst , vol.51 , pp. 189-194
    • Fu, G.1
  • 20
    • 34248978779 scopus 로고
    • Measure of association for crossclassification
    • L. A. Goodman and W. H. Kruskal, "Measure of association for crossclassification," J. Amer. Stat. Assoc., vol.49, pp. 732-764, 1954.
    • (1954) J. Amer. Stat. Assoc. , vol.49 , pp. 732-764
    • Goodman, L.A.1    Kruskal, W.H.2
  • 21
    • 0032283452 scopus 로고    scopus 로고
    • Partitions of partitions
    • A. D. Gordon and M. Vichi, "Partitions of partitions," J. Classification, vol.15, no.2, pp. 265-285, 1998.
    • (1998) J. Classification , vol.15 , Issue.2 , pp. 265-285
    • Gordon, A.D.1    Vichi, M.2
  • 22
    • 0035534931 scopus 로고    scopus 로고
    • Fuzzy partition models for fitting a set of partitions
    • A. D. Gordon and M. Vichi, "Fuzzy partition models for fitting a set of partitions," Psychometrika, vol.66, no.2, pp. 229-247, 2001. (Pubitemid 33570331)
    • (2001) Psychometrika , vol.66 , Issue.2 , pp. 229-247
    • Gordon, A.D.1    Vichi, M.2
  • 23
    • 0037118191 scopus 로고    scopus 로고
    • Partition-distance: A problem and class of perfect graphs arising in clustering
    • D. Gusfield, "Partition-distance: A problem and class of perfect graphs arising in clustering," Inf. Process. Lett., vol.82, pp. 159-164, 2002.
    • (2002) Inf. Process. Lett. , vol.82 , pp. 159-164
    • Gusfield, D.1
  • 24
    • 33744920539 scopus 로고    scopus 로고
    • Moderate diversity for better cluster ensembles
    • S.T.Hadjitodorov, L. I.Kuncheva, and L. P. Todorova, "Moderate diversity for better cluster ensembles," Inf. Fusion, vol.7, no.3, pp. 264-275, 2006.
    • (2006) Inf. Fusion , vol.7 , Issue.3 , pp. 264-275
    • Hadjitodorov, S.T.1    Kuncheva, L.I.2    Todorova, L.P.3
  • 27
    • 0033444769 scopus 로고    scopus 로고
    • A generalized Rand-index method for consensus clustering of separate partitions of the same data base
    • A. M. Krieger and P. E. Green, "A generalized Rand-index method for consensus clustering of separate partitions of the same data base," J. Classification, vol.16, no.1, pp. 63-89, 1999.
    • (1999) J. Classification , vol.16 , Issue.1 , pp. 63-89
    • Krieger, A.M.1    Green, P.E.2
  • 30
    • 0033707623 scopus 로고    scopus 로고
    • An optimal O(N2) algorithm for computing the min-transitive closure of a weighted graph
    • S. Kundu, "An optimal O(N2) algorithm for computing the min-transitive closure of a weighted graph," Inf. Process. Lett., vol.74, pp. 215-220, 2000.
    • (2000) Inf. Process. Lett. , vol.74 , pp. 215-220
    • Kundu, S.1
  • 32
    • 11944272751 scopus 로고
    • Statistical significance of the matrix correlation coefficient for comparing independent phylogenetic trees
    • F. J. Lapointe and P. Legendre, "Statistical significance of the matrix correlation coefficient for comparing independent phylogenetic trees," Syst. Biol., vol.41, no.3, pp. 378-384, 1992.
    • (1992) Syst. Biol. , vol.41 , Issue.3 , pp. 378-384
    • Lapointe, F.J.1    Legendre, P.2
  • 33
    • 76849084181 scopus 로고
    • A fast max-min similarity algorithm
    • J. C. Verdegay and M. Delgado, Eds. Köln, Germany: IS 95 Verlag TUV Rheinland
    • H. K. Larsen and R. Yager, "A fast max-min similarity algorithm," in The Interface Between AI and OR in a Fuzzy Environment, J. C. Verdegay and M. Delgado, Eds. Köln, Germany: IS 95 Verlag TUV Rheinland, 1989, pp. 147-155.
    • (1989) The Interface between AI and or in A Fuzzy Environment , pp. 147-155
    • Larsen, H.K.1    Yager, R.2
  • 34
    • 0035480423 scopus 로고    scopus 로고
    • An optimal algorithm for computing the max-min transitive closure of a fuzzy similarity matrix
    • H. S. Lee, "An optimal algorithm for computing the max-min transitive closure of a fuzzy similarity matrix," Fuzzy Sets Syst., vol.123, pp. 129- 136, 2001.
    • (2001) Fuzzy Sets Syst , vol.123 , pp. 129-136
    • Lee, H.S.1
  • 35
    • 76849105795 scopus 로고    scopus 로고
    • Stabilization of k-means with bagged clustering
    • presented at Baltimore, MD
    • F. Leisch and K. Hornik, "Stabilization of k-means with bagged clustering," presented at the Joint Stat. Meeting, Baltimore, MD, 1999.
    • (1999) The Joint Stat. Meeting
    • Leisch, F.1    Hornik, K.2
  • 36
    • 0035619721 scopus 로고    scopus 로고
    • Optimal variable weighting for ultrametric and additive trees and K-means partitioning: Methods and software
    • V. Makarenkov and P. Legendre, "Optimal variable weighting for ultrametric and additive trees and k-means partitioning: Methods and software," J. Classification, vol.18, pp. 245-271, 2001. (Pubitemid 33587487)
    • (2001) Journal of Classification , vol.18 , Issue.2 , pp. 245-271
    • Makarenkov, V.1    Legendre, P.2
  • 37
    • 0347540951 scopus 로고    scopus 로고
    • Algorithms for computing the min-transitive closure and associated partition tree of a symmetric fuzzy relation
    • H. D. Meyer, H. Naessens, and B. D. Baets, "Algorithms for computing the min-transitive closure and associated partition tree of a symmetric fuzzy relation," Eur. J. Oper. Res., vol.155, no.1, pp. 226-238, 2004.
    • (2004) Eur. J. Oper. Res. , vol.155 , Issue.1 , pp. 226-238
    • Meyer, H.D.1    Naessens, H.2    Baets, B.D.3
  • 38
    • 3042595860 scopus 로고    scopus 로고
    • Ensembles of partitions via data resampling
    • presented at Las Vegas, NV
    • B. Minaei, A. Topchy, andW. F. Punch, "Ensembles of partitions via data resampling," presented at the Int. Conf. Inf. Technol., Las Vegas, NV, 2004.
    • (2004) The Int. Conf. Inf. Technol.
    • Minaei, B.1    Topchy, A.2    Punch, W.F.3
  • 39
    • 58049085518 scopus 로고    scopus 로고
    • A new method for hierarchical clustering combination
    • A. Mirzaei, M. Rahmati, andM. Ahmadi, "A new method for hierarchical clustering combination," Intell. Data Anal., vol.12, no.6, pp. 549-571, 2008.
    • (2008) Intell. Data Anal. , vol.12 , Issue.6 , pp. 549-571
    • Mirzaei, A.1    Rahmati, M.2    Ahmadi, M.3
  • 40
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling based method for class discovery and visualization of gene expression microarray data
    • S. Monti, P. Tamayo, J. Mesirov, and T. Golub, "Consensus clustering: A resampling based method for class discovery and visualization of gene expression microarray data," Mach. Learn., vol.52, pp. 91-118, 2003.
    • (2003) Mach. Learn. , vol.52 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 41
    • 0036684880 scopus 로고    scopus 로고
    • Algorithms for the computation of T-transitive closures
    • Aug.
    • H. Naessens, H. De Meyer, and B. De Baets, "Algorithms for the computation of T-transitive closures," IEEE Trans. Fuzzy Syst., vol.10, no.4, pp. 541-551, Aug. 2002.
    • (2002) IEEE Trans. Fuzzy Syst. , vol.10 , Issue.4 , pp. 541-551
    • Naessens, H.1    De Meyer, H.2    De Baets, B.3
  • 42
    • 0036885192 scopus 로고    scopus 로고
    • Collaborative fuzzy clustering
    • W. Pedrycz, "Collaborative fuzzy clustering," Pattern Recognit. Lett., vol.23, no.14, pp. 1675-1686, 2002.
    • (2002) Pattern Recognit. Lett. , vol.23 , Issue.14 , pp. 1675-1686
    • Pedrycz, W.1
  • 43
    • 43249086150 scopus 로고    scopus 로고
    • A consensus-driven fuzzy clustering
    • W. Pedrycz and K. Hirota, "A consensus-driven fuzzy clustering," Pattern Recognit. Lett., vol.29, no.9, pp. 1333-1343, 2008.
    • (2008) Pattern Recognit. Lett. , vol.29 , Issue.9 , pp. 1333-1343
    • Pedrycz, W.1    Hirota, K.2
  • 44
    • 0034335444 scopus 로고    scopus 로고
    • Simulation of random dendrograms and comparison tests: Some comments
    • J. Podani, "Simulation of random dendrograms and comparison tests: Some comments," J. Classification, vol.17, pp. 123-142, 2000.
    • (2000) J. Classification , vol.17 , pp. 123-142
    • Podani, J.1
  • 45
    • 49749128817 scopus 로고    scopus 로고
    • Consensus-based ensembles of soft clusterings
    • K. Punera and J. Ghosh, "Consensus-based ensembles of soft clusterings," Appl. Artif., vol.22, no.7, pp. 780-810, 2008.
    • (2008) Appl. Artif. , vol.22 , Issue.7 , pp. 780-810
    • Punera, K.1    Ghosh, J.2
  • 46
    • 0025448521 scopus 로고
    • The strength of weak learnability
    • R. E. Schapire, "The strength of weak learnability," Mach. Learn., vol.5, no.2, pp. 197-227, 1990.
    • (1990) Mach. Learn. , vol.5 , Issue.2 , pp. 197-227
    • Schapire, R.E.1
  • 47
    • 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., vol.3, pp. 583-617, 2002.
    • (2002) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 48
    • 0036931833 scopus 로고    scopus 로고
    • Cluster ensembles-A knowledge reuse framework for combining partitions
    • AB, Canada: AAAI/MIT Press, Jul.
    • A. Strehl and J. Ghosh, "Cluster ensembles-A knowledge reuse framework for combining partitions," in Proc. Conf. Artif. Intell. Edmonton, AB, Canada: AAAI/MIT Press, Jul. 2002, pp. 93-98.
    • (2002) Proc. Conf. Artif. Intell. Edmonton , pp. 93-98
    • Strehl, A.1    Ghosh, J.2
  • 49
    • 0004172718 scopus 로고    scopus 로고
    • 2nd ed. Amsterdam, The Netherlands/New York: Elsevier/Academic
    • S. Theodoridis and K. Koutroumbas, Pattern Recognition, 2nd ed. Amsterdam, The Netherlands/New York: Elsevier/Academic, 2003.
    • (2003) Pattern Recognition
    • Theodoridis, S.1    Koutroumbas, K.2
  • 53
    • 30144442247 scopus 로고    scopus 로고
    • Clustering ensembles: Models of consensus and weak partitions
    • Dec.
    • A. Topchy, A. K. 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.K.2    Punch, W.3
  • 55
    • 33744922637 scopus 로고    scopus 로고
    • Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory
    • S. J. Verzi, G. L. Heileman, and M. Georgiopoulos, "Boosted ARTMAP: Modifications to fuzzy ARTMAP motivated by boosting theory," Neural Netw., vol.19, no.4, pp. 446-468, 2006.
    • (2006) Neural Netw , vol.19 , Issue.4 , pp. 446-468
    • Verzi, S.J.1    Heileman, G.L.2    Georgiopoulos, M.3
  • 56
    • 0032071306 scopus 로고    scopus 로고
    • Principal classifications analysis: A method for generating consensus dendrograms and its application to three-way data
    • M. Vichi, "Principal classifications analysis: a method for generating consensus dendrograms and its application to three-way data," Comput. Stat. Data Anal., vol.27, no.3, pp. 311-331, 1998.
    • (1998) Comput. Stat. Data Anal. , vol.27 , Issue.3 , pp. 311-331
    • Vichi, M.1
  • 57
    • 0033243639 scopus 로고    scopus 로고
    • One-mode classification of a three-way data matrix
    • M. Vichi, "One-mode classification of a three-way data matrix," J. Classification, vol.16, no.1, pp. 27-44, 1999.
    • (1999) J. Classification , vol.16 , Issue.1 , pp. 27-44
    • Vichi, M.1
  • 58
    • 27744505065 scopus 로고    scopus 로고
    • Computationally efficient sup-t transitive closure for sparse fuzzy binary relations
    • M. Wallace, Y. Avrithis, and S. Kollias, "Computationally efficient sup-t transitive closure for sparse fuzzy binary relations," Fuzzy Sets Syst., vol.157, pp. 341-372, 2006.
    • (2006) Fuzzy Sets Syst , vol.157 , pp. 341-372
    • Wallace, M.1    Avrithis, Y.2    Kollias, S.3
  • 59
    • 84898576395 scopus 로고    scopus 로고
    • An ensemble method for clustering
    • [Online]. Available
    • A. Weingessel, E. Dimitriadou, and K. Hornik. (2003). An ensemble method for clustering. DSC Working Papers [Online]. Available: http://www.ci.tuwien.ac. at/Conferences/DSC-2003
    • (2003) DSC Working Papers
    • Weingessel, A.1    Dimitriadou, E.2    Hornik, K.3
  • 60
    • 0038156237 scopus 로고    scopus 로고
    • Evaluation of hierarchical clustering algorithms for document datasets
    • McLean, VA
    • Y. Zhao and G. Karypis, "Evaluation of hierarchical clustering algorithms for document datasets," in Proc. 11th Int. Conf. Inf. Knowl. Manag., McLean, VA, 2002, pp. 515-524.
    • (2002) Proc. 11th Int. Conf. Inf. Knowl. Manag. , pp. 515-524
    • Zhao, Y.1    Karypis, G.2
  • 61
    • 33644655237 scopus 로고    scopus 로고
    • Clusterer ensemble
    • Z. H. Zhou and W. Tang, "Clusterer ensemble," Knowl.-Based Syst., vol.19, no.1, pp. 77-83, 2006.
    • (2006) Knowl.-Based Syst. , vol.19 , Issue.1 , pp. 77-83
    • Zhou, Z.H.1    Tang, W.2
  • 62
    • 24644441048 scopus 로고    scopus 로고
    • Ensembling local learners through multimodal perturbation
    • Aug.
    • Z. H. Zhou and Y. Yu., "Ensembling local learners through multimodal perturbation," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol.35, no.4, pp. 725-735, Aug. 2005.
    • (2005) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.35 , Issue.4 , pp. 725-735
    • Zhou, Z.H.1    Yu, Y.2
  • 63
    • 76849104684 scopus 로고    scopus 로고
    • Oct. 13. [Online]. Available
    • Gunnar Raetsch's Benchmark Datasets. (2008, Oct. 13). [Online]. Available: http://users.rsise.anu.edu.au/?raetsch/data/index
    • (2008) Gunnar Raetsch's Benchmark Datasets
  • 65
    • 76849103947 scopus 로고    scopus 로고
    • Oct. 13. [Online]. Available
    • Real Medical Datasets. (2008, Oct. 13). [Online]. Available: http://www. informatics.bangor.ac.uk/?kuncheva/activities/real-data.htm
    • (2008) Real Medical Datasets


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