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Volumn 1, Issue , 2006, Pages 84-89

Combining multiple clusterings using information theory based genetic algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GENETIC ALGORITHMS; GRAPH THEORY; INFORMATION THEORY; PROBLEM SOLVING; UNSUPERVISED LEARNING;

EID: 38549122250     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIAS.2006.294095     Document Type: Conference Paper
Times cited : (39)

References (19)
  • 1
    • 38549136354 scopus 로고    scopus 로고
    • E. D. Cristofor, Information-theoretical Methods in Clustering, in Department of Computer Science, Ph.D. Boston: University of Massachusetts, 2002, pp. 130.
    • E. D. Cristofor, "Information-theoretical Methods in Clustering," in Department of Computer Science, vol. Ph.D. Boston: University of Massachusetts, 2002, pp. 130.
  • 3
    • 12744281466 scopus 로고    scopus 로고
    • B. Minaei-Bidgoli, A. P. Topchy, and W. F. Punch, A Comparison of Resampling Methods for Clustering Ensembles, presented at IC-AI 2004.
    • B. Minaei-Bidgoli, A. P. Topchy, and W. F. Punch, "A Comparison of Resampling Methods for Clustering Ensembles," presented at IC-AI 2004.
  • 4
    • 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," Journal of Machine Learning Research, vol. 3, pp. 583-617, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 8
    • 1942517297 scopus 로고    scopus 로고
    • Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
    • presented at , Washington DC, USA
    • X. Z. Fern and C. E. Bradley, "Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach," presented at Proc. of the 20th International Conference on Machine Learning (ICML 2003), Washington DC, USA, 2003.
    • (2003) Proc. of the 20th International Conference on Machine Learning (ICML
    • Fern, X.Z.1    Bradley, C.E.2
  • 9
    • 0037963197 scopus 로고    scopus 로고
    • Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation
    • B. Fischer and J. M. Buhmann, "Path-Based Clustering for Grouping of Smooth Curves and Texture Segmentation," IEEE Trans. on PAMI, vol. 25, pp. 513-518, 2003.
    • (2003) IEEE Trans. on PAMI , vol.25 , pp. 513-518
    • Fischer, B.1    Buhmann, J.M.2
  • 12
    • 0032131147 scopus 로고    scopus 로고
    • A fast and high quality multilevel scheme for parti-tioning irregular graphs
    • G. Karypis and V. Kumar, "A fast and high quality multilevel scheme for parti-tioning irregular graphs," SIAM Journal of Scientific Computing, vol. 20, pp. 359-392, 1998.
    • (1998) SIAM Journal of Scientific Computing , vol.20 , pp. 359-392
    • Karypis, G.1    Kumar, V.2
  • 15
    • 0038391443 scopus 로고    scopus 로고
    • Bagging to improve the accuracy of a clustering procedure
    • Dudoit and J. Fridlyand, "Bagging to improve the accuracy of a clustering procedure," Bioinformatics, vol. 19, pp. 1090-1099, 2003.
    • (2003) Bioinformatics , vol.19 , pp. 1090-1099
    • Dudoit1    Fridlyand, J.2
  • 17
    • 28444468233 scopus 로고    scopus 로고
    • An InformationTheoretical Approach to Genetic Algorithms for Clustering
    • UMass/Boston, Technical Report TR-01-02, June
    • D. Cristofor and D. Simovici, "An InformationTheoretical Approach to Genetic Algorithms for Clustering," UMass/Boston, Technical Report TR-01-02, June 2001.
    • (2001)
    • Cristofor, D.1    Simovici, D.2
  • 19
    • 0002719797 scopus 로고
    • The hungarian method for the assignment problem
    • H. W. Kuhn, "The hungarian method for the assignment problem," Naval Re-search Logistics Quaterly, vol. 2, pp. 83-97, 1955.
    • (1955) Naval Re-search Logistics Quaterly , vol.2 , pp. 83-97
    • Kuhn, H.W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.