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Volumn 3, Issue , 2010, Pages 393-397

Clustering ensembles based on multi-classifier fusion

Author keywords

Classification; Clustering; Clustering ensembles; Consensus function; Multiple classifier

Indexed keywords

CLASSIFICATION; CLUSTERING; CLUSTERING ENSEMBLE; CONSENSUS FUNCTIONS; MULTIPLE CLASSIFIERS;

EID: 78651311310     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICISYS.2010.5658608     Document Type: Conference Paper
Times cited : (8)

References (36)
  • 3
    • 0042001498 scopus 로고    scopus 로고
    • Unsupervised Learning without Overfitting: Empirical Risk Approximation as an Induction Principle for Reliable Clustering
    • S. Singh, ed.
    • J. Buhmann and M. Held, Unsupervised Learning without Overfitting: Empirical Risk Approximation as an Induction Principle for Reliable Clustering, Proc. Int'l Conf. Advances in Pattern Recognition, S. Singh, ed., pp. 167-176, 1999.
    • (1999) Proc. Int'l Conf. Advances in Pattern Recognition , pp. 167-176
    • Buhmann, J.1    Held, M.2
  • 4
    • 0032639655 scopus 로고    scopus 로고
    • Concept Learning and Feature Selection Based on Square-Error Clustering
    • B. Mirkin, Concept Learning and Feature Selection Based on Square-Error Clustering, Machine Learning, vol. 35, pp. 25-39, 1999.
    • (1999) Machine Learning , vol.35 , pp. 25-39
    • Mirkin, B.1
  • 11
    • 0032154982 scopus 로고    scopus 로고
    • A Monothetic Clustering Method
    • M. Chavent, A Monothetic Clustering Method, Pattern Recognition Letters, vol. 19, pp. 989-996, 1998.
    • (1998) Pattern Recognition Letters , vol.19 , pp. 989-996
    • Chavent, M.1
  • 13
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • Feb.
    • A. Strehl and J. Ghosh" Cluster ensembles - A knowledge reuse framework for combining multiple partitions, Joumal of Machine Learning Research, pp.583-617, Feb. 2002.
    • (2002) Joumal of Machine Learning Research , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 16
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of a clustering procedure
    • Nov.
    • S. Dudoit and J. Fridlyand, Bagging to improve the accuracy of a clustering procedure, Bioinformatics oxford university, vol. 19, no. 9, pp. 1090-1099, Nov. 2003.
    • (2003) Bioinformatics Oxford University , vol.19 , Issue.9 , pp. 1090-1099
    • Dudoit, S.1    Fridlyand, J.2
  • 18
    • 84899013108 scopus 로고    scopus 로고
    • On spectral clustering: Analysis and an algorithm
    • A. Ng, M. Jordan and Y. Weiss, On spectral clustering: Analysis and an algorithm, NIPS 14, 2002.
    • (2002) NIPS , vol.14
    • Ng, A.1    Jordan, M.2    Weiss, Y.3
  • 19
    • 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, pp. 359-392, 1998.
    • (1998) SIAM Journal on Scientific Computing , pp. 359-392
    • Karypis, G.1    Kumar, V.2
  • 21
    • 38449104679 scopus 로고    scopus 로고
    • A new efficient approach in clustering ensembles
    • J. Azimi, M. Abdoos and M. Analoui, A new efficient approach in clustering ensembles, IDEAL LNCS, vol. 4881, pp. 395-405, 2007.
    • (2007) IDEAL LNCS , vol.4881 , pp. 395-405
    • Azimi, J.1    Abdoos, M.2    Analoui, M.3
  • 25
    • 0032021555 scopus 로고    scopus 로고
    • On Combining Classifiers
    • March
    • J. Kittler et al., On Combining Classifiers, IEEE Trans. on PAMI, Vol.20, No.3, March 1998, pp. 226-239
    • (1998) IEEE Trans. on PAMI , vol.20 , Issue.3 , pp. 226-239
    • Kittler, J.1
  • 26
    • 0028259890 scopus 로고
    • Decision combination in multiple classifiers systems
    • Jan.
    • S. N. Srihari et aI., Decision combination in multiple classifiers systems, IEEE Trans. on PAMI, Vol. 16, No. 1, Jan. 1 994, pp. 66-75
    • (1994) IEEE Trans. on PAMI , vol.16 , Issue.1 , pp. 66-75
    • Srihari, S.N.1
  • 27
    • 0026860706 scopus 로고
    • Methods for combining multiple classifiers and their applications to handwriting recognition
    • May/June
    • L. Xu, A. Krzyzak, and C.Y. Suen, Methods for combining multiple classifiers and their applications to handwriting recognition, IEEE Trans. on Systems, Man, and Cyb., Vol. 22, No. 3, May/June 1992, pp. 418-435
    • (1992) IEEE Trans. on Systems, Man, and Cyb. , vol.22 , Issue.3 , pp. 418-435
    • Xu, L.1    Krzyzak, A.2    Suen, C.Y.3
  • 28
    • 62649087948 scopus 로고    scopus 로고
    • Classifier Combination and Its Application
    • H. Han and J. Yang, Classifier Combination and Its Application ; Computer Science, Vol.27, Issue 1, pp.58-61, 2000.
    • (2000) Computer Science , vol.27 , Issue.1 , pp. 58-61
    • Han, H.1    Yang, J.2
  • 29
    • 0030367578 scopus 로고    scopus 로고
    • Ensemble learning using decorrelated neural networks
    • December
    • B. E. Rosen, Ensemble learning using decorrelated neural networks , Connection Science 8, December 1996, pp. 373-383
    • (1996) Connection Science , vol.8 , pp. 373-383
    • Rosen, B.E.1
  • 30
    • 0030585190 scopus 로고    scopus 로고
    • Engineering multiversion neural-net systems
    • D. Partridge, W. B. Yates, Engineering multiversion neural-net systems, Neural Computation, pp. 869-893 1996.
    • (1996) Neural Computation , pp. 869-893
    • Partridge, D.1    Yates, W.B.2
  • 31
    • 0000747937 scopus 로고
    • The combination of multiple classifiers by a neural network approach
    • C. Y. Suen et al., The combination of multiple classifiers by a neural network approach, Int. Journal of Pattern Recognition and Artificial Intelligence, Vol. 9, no.3, pp.579-597, 1995.
    • (1995) Int. Journal of Pattern Recognition and Artificial Intelligence , vol.9 , Issue.3 , pp. 579-597
    • Suen, C.Y.1
  • 32
    • 0031121318 scopus 로고    scopus 로고
    • Combination of multiple classifiers using local accuracy estimates
    • April
    • K. Woods et al., Combination of multiple classifiers using local accuracy estimates, IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 19, No.4, April 1997.
    • (1997) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.19 , Issue.4
    • Woods, K.1
  • 33
    • 35048842229 scopus 로고    scopus 로고
    • Dynamic Classifier Selection by Adaptive k-Nearest-Neighborhood Rule
    • Proc. of the 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), Cagliari (I), June 2004, Springer-Verlag, Jun.
    • L. Didaci and G. Giacinto, Dynamic Classifier Selection by Adaptive k-Nearest-Neighborhood Rule; Proc. of the 5th Int. Workshop on Multiple Classifier Systems (MCS 2004), Cagliari (I), June 2004, LNCS 3077, Springer-Verlag, pp.174-183, Jun., 2004.
    • (2004) LNCS , vol.3077 , pp. 174-183
    • Didaci, L.1    Giacinto, G.2
  • 35
    • 84957012677 scopus 로고    scopus 로고
    • Finding Consistent Clusters in Data Partitions
    • Kittler, J., Roli, F. (eds.) MCS 2001. Springer, Heidelberg
    • A., Fred, Finding Consistent Clusters in Data Partitions. In: Kittler, J., Roli, F. (eds.) MCS 2001. LNCS, vol. 2096, pp. 309-318. Springer, Heidelberg, 2001.
    • (2001) LNCS , vol.2096 , pp. 309-318
    • Fred, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.