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Volumn 3849 LNAI, Issue , 2006, Pages 229-235

Unsupervised gene selection and clustering using simulated annealing

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER AIDED SOFTWARE ENGINEERING; DATA ACQUISITION; DATA REDUCTION; SIMULATED ANNEALING;

EID: 33745175473     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11676935_28     Document Type: Conference Paper
Times cited : (9)

References (15)
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    • D.R. Bickel, Robust cluster analysis of microarray gene expression data with the number of cluster determined biologically, Bioinformatics, vol. 19, no. 7 pp. 818-824, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.7 , pp. 818-824
    • Bickel, D.R.1
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • A. Blum and P. Langley, Selection of Relevant Features and Examples in Machine Learning, Artificial Intelligence, vol. 97, nos. 1-2, pp. 245-271, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 245-271
    • Blum, A.1    Langley, P.2
  • 4
    • 0037399775 scopus 로고    scopus 로고
    • Cluster validation techniques for genome expression data Source
    • N. Bolshakova and F. Azuaje, Cluster validation techniques for genome expression data Source, Signal Processing, vol.83, pp. 825-833, 2003.
    • (2003) Signal Processing , vol.83 , pp. 825-833
    • Bolshakova, N.1    Azuaje, F.2
  • 8
    • 0037715342 scopus 로고    scopus 로고
    • Simultaneous gene clustering and subset selection for sample classification via MDL
    • R. Jornsten, B. Yu, Simultaneous gene clustering and subset selection for sample classification via MDL, Bioinformatics, vol. 19, no. 8, pp. 1100-1109, 2003.
    • (2003) Bioinformatics , vol.19 , Issue.8 , pp. 1100-1109
    • Jornsten, R.1    Yu, B.2
  • 9
    • 26444479778 scopus 로고
    • Optimization by simulated annealing
    • S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi. Optimization by simulated annealing. Science, vol. 220, pp.661-680, 1983.
    • (1983) Science , vol.220 , pp. 661-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 10
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi and G. John, Wrappers for Feature Subset Selection, Artificial Intelligence, vol. 97, nos. 1-2, pp. 273-324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1-2 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 14
    • 33745170131 scopus 로고    scopus 로고
    • A combinatorial approach to clustering gene expession data
    • B. Mumey, L. Showe, M. Showe, A Combinatorial Approach to Clustering Gene Expession Data, Bioinformatics, 2003.
    • (2003) Bioinformatics
    • Mumey, B.1    Showe, L.2    Showe, M.3
  • 15
    • 0141920328 scopus 로고    scopus 로고
    • A quantitative method for evaluating the performances of hyperspectral image fusion
    • Q. Wang, Y. Shen, Y. Zhang, and JQ. Zhang, A quantitative method for evaluating the performances of hyperspectral image fusion, IEEE Trans. Instrumentation and Measurement vol. 52, pp. 1041-1047, 2003.
    • (2003) IEEE Trans. Instrumentation and Measurement , vol.52 , pp. 1041-1047
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.