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Volumn 4881 LNCS, Issue , 2007, Pages 395-405

A new efficient approach in clustering ensembles

Author keywords

Clustering ensemble; Feature space; Initial points; Intelligent k means

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; INTELLIGENT AGENTS;

EID: 38449104679     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-77226-2_41     Document Type: Conference Paper
Times cited : (17)

References (22)
  • 1
    • 0036931833 scopus 로고    scopus 로고
    • Cluster ensembles - a knowledge reuse framework for combining partitioning
    • Edmonton, Alberta, Canada, pp
    • Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining partitioning. In: Proc. of 11th National Conf. on Artificial Intelligence, Edmonton, Alberta, Canada, pp. 93-98 (2002)
    • (2002) Proc. of 11th National Conf. on Artificial Intelligence , pp. 93-98
    • Strehl, A.1    Ghosh, J.2
  • 4
    • 33745772326 scopus 로고    scopus 로고
    • Cluster ensemble and its applications in gene expression analysis
    • Chen, Y.-P.P, ed, Dunedin, New Zealand, pp
    • Hu, X., Yoo, I.: Cluster ensemble and its applications in gene expression analysis. In: Chen, Y.-P.P. (ed.) Proc. 2nd Asia-Pacific Bioinformatics Conference, Dunedin, New Zealand, pp. 297-302 (2004)
    • (2004) Proc. 2nd Asia-Pacific Bioinformatics Conference , pp. 297-302
    • Hu, X.1    Yoo, I.2
  • 5
    • 1942517297 scopus 로고    scopus 로고
    • Random projection for high dimensional data clustering: A cluster ensemble approach
    • Washington, DC, pp
    • Fern, X.Z, Brodley, C.E.: Random projection for high dimensional data clustering: a cluster ensemble approach. In: ICML. Proc. 20th International Conference on Machine Learning, Washington, DC, pp. 186-193 (2003)
    • (2003) ICML. Proc. 20th International Conference on Machine Learning , pp. 186-193
    • Fern, X.Z.1    Brodley, C.E.2
  • 6
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles a knowledge reuse framework for combining multiple partitions
    • Strehl, A., Ghosh, J.: Cluster ensembles a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research, 583-617 (2002)
    • (2002) Journal on Machine Learning Research , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 8
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of a clustering procedure
    • Dudoit, S., Fridlyand, J.: Bagging to improve the accuracy of a clustering procedure. Bioinformatics 19, 1090-1099(2003)
    • (2003) Bioinformatics , vol.19 , pp. 1090-1099
    • Dudoit, S.1    Fridlyand, J.2
  • 12
    • 0038724494 scopus 로고    scopus 로고
    • Consensus clustering: A resampling based method for class discovery and visualization of gene expression microarray data
    • Monti, S., Tamayo, P., Mesirov, J., Golub, T.: Consensus clustering: a resampling based method for class discovery and visualization of gene expression microarray data. Machine Learning 52, 91-118(2003)
    • (2003) Machine Learning , vol.52 , pp. 91-118
    • Monti, S.1    Tamayo, P.2    Mesirov, J.3    Golub, T.4
  • 18
    • 38449112419 scopus 로고    scopus 로고
    • Aarts, E.H.L., Eiben, A.E., Van Hee, K.M.: A general theory of genetic algorithms. Tech.Rep.89/08, Einndhoven University of Technology (1989)
    • Aarts, E.H.L., Eiben, A.E., Van Hee, K.M.: A general theory of genetic algorithms. Tech.Rep.89/08, Einndhoven University of Technology (1989)
  • 20
    • 0033204902 scopus 로고    scopus 로고
    • An Empirical comparison of four initialization methods for the k-means algorithm
    • Pena, J., Lozano, J., Larranaga, P.: An Empirical comparison of four initialization methods for the k-means algorithm. Pattern Recognition Letters 20, 1027-1040 (1999)
    • (1999) Pattern Recognition Letters , vol.20 , pp. 1027-1040
    • Pena, J.1    Lozano, J.2    Larranaga, P.3
  • 21
    • 38049103082 scopus 로고
    • A near optimal initial seed value selection in k-means algorithm using a genetic algorithm
    • Babu, G., Murty, M.: A near optimal initial seed value selection in k-means algorithm using a genetic algorithm. Pattern Recognition Letters 14,763-769 (1993)
    • (1993) Pattern Recognition Letters , vol.14 , pp. 763-769
    • Babu, G.1    Murty, M.2
  • 22
    • 0018918171 scopus 로고
    • An algorithm for vector quantizer design
    • Linde, Y., Buzo, A., Gray, R.: An algorithm for vector quantizer design. IEEE trans. Comm. 28, 84-95 (1980)
    • (1980) IEEE trans. Comm , vol.28 , pp. 84-95
    • Linde, Y.1    Buzo, A.2    Gray, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.