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Volumn 5, Issue 12, 2010, Pages 1371-1377

Feature selection via correlation coefficient clustering

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DATA SETS; DISORDERED PROTEINS; FEATURE SELECTION; FEATURE SELECTION METHODS; FUNDAMENTAL PROBLEM; MACHINE-LEARNING; NOVEL METHODS;

EID: 78651559039     PISSN: 1796217X     EISSN: None     Source Type: Journal    
DOI: 10.4304/jsw.5.12.1371-1377     Document Type: Article
Times cited : (69)

References (23)
  • 2
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for Feature Subset Selection," Artificial Intelligence
    • [doi: 10.1016/S0004-3702(97)00043-X], In Michie, D. ed., Edinburgh University Press, Edinburgh
    • R. Kohavi, and G. John, "Wrappers for Feature Subset Selection," Artificial Intelligence, vol. 97, pp. 273-324, 1997. [doi: 10.1016/S0004-3702(97)00043-X]
    • (1997) Expert Systems In the Microelectronic Age, Scotland , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.2
  • 3
    • 0002442571 scopus 로고
    • Discovering Rules from Large Collections of Examples
    • J. R. Quinlan, Discovering Rules from Large Collections of Examples: A Case Study, In Michie, D. ed., Expert Systems in the Microelectronic Age, Scotland: Edinburgh University Press, Edinburgh, 1979, pp. 168-201.
    • (1979) Expert Systems in the Microelectronic Age, Scotland , pp. 168-201
    • Quinlan, J.R.1
  • 5
    • 78651570403 scopus 로고    scopus 로고
    • LIBSVM - A Library for Support Vector Machines, (last accessed Nov 3, 2009)
    • LIBSVM - A Library for Support Vector Machines, http://www.csie.ntu.edu.tw/~cjlin/libsvm/ (last accessed Nov 3, 2009)
  • 7
    • 38149013865 scopus 로고    scopus 로고
    • A Novel Information Theory Method for Filter Feature Selection, MICAI 2007: Advances in Artificial Intelligence
    • B. Bonev, F. Escolano and M. Angel-Cazorla, "A Novel Information Theory Method for Filter Feature Selection," MICAI 2007: Advances in Artificial Intelligence, Springer Berlin/Heidelberg, pp. 431-440, 2007.
    • (2007) Springer Berlin/Heidelberg , pp. 431-440
    • Bonev, B.1    Escolano, F.2    Angel-Cazorla, M.3
  • 9
    • 67449169301 scopus 로고    scopus 로고
    • A Filter Approach to Feature Selection Based on Mutual Information
    • [doi:10.1109/COGINF.2006.365681]
    • J. J. Huang, Y. Z. Cai, and X. M. Xu, "A Filter Approach to Feature Selection Based on Mutual Information," Cognitive Informatics, vol. 1, pp. 84 -89, 2006. [doi:10.1109/COGINF.2006.365681]
    • (2006) Cognitive Informatics , vol.1
    • Huang, J.J.1    Cai, Y.Z.2    Xu, X.M.3
  • 10
    • 24344458137 scopus 로고    scopus 로고
    • Feature Selection Based on Mutual Information: Criteria of Max- Dependency, Max-Relevance, and Min-Redundancy
    • [doi:10.1109/TPAMI.2005.159]
    • H. C. Peng, F. H. Long and C. Ding, "Feature Selection Based on Mutual Information: Criteria of Max- Dependency, Max-Relevance, and Min-Redundancy," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 8, pp. 1226-1238, 2005. [doi:10.1109/TPAMI.2005.159]
    • (2005) IEEE Transactions On Pattern Analysis and Machine Intelligence , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.C.1    Long, F.H.2    Ding, C.3
  • 11
    • 84960463485 scopus 로고    scopus 로고
    • Minimum Redundancy Feature Selection from Microarray Gene Expression Data
    • [doi 10.1109/CSB.2003.1227396]
    • C. Ding and H. C. Peng, "Minimum Redundancy Feature Selection from Microarray Gene Expression Data," Proc. Second IEEE Computational Systems Bioinformatics Conf., pp. 523-528, 2003. [doi 10.1109/CSB.2003.1227396]
    • (2003) Proc. Second IEEE Computational Systems Bioinformatics Conf , pp. 523-528
    • Ding, C.1    Peng, H.C.2
  • 13
    • 84942213019 scopus 로고
    • The Best Two Independent Measurements Are Not the Two Best," IEEE Trans. Systems
    • T. M. Cover, "The Best Two Independent Measurements Are Not the Two Best," IEEE Trans. Systems, Man, and Cybernetics, vol. 4, pp. 116-117, 1974.
    • (1974) Man, and Cybernetics , vol.4 , pp. 116-117
    • Cover, T.M.1
  • 14
    • 4744349987 scopus 로고    scopus 로고
    • Combining prediction, computation and experiment for the characterization of protein disorder
    • C. Bracken, L. M. Iakoucheva, P.R. Romero, and A.K. Dunker, "Combining prediction, computation and experiment for the characterization of protein disorder," Curr. Opin. Struct. Biol, vol. 14, pp. 570-576, 2004.
    • (2004) Curr. Opin. Struct. Biol , vol.15 , pp. 570-576
    • Bracken, C.1    Iakoucheva, L.M.2    Romero, P.R.3    Dunker, A.K.4
  • 15
    • 33745289067 scopus 로고    scopus 로고
    • Length-dependent prediction of protein intrinsic disorder
    • [doi: 10.1186/1471-2105-7-208]
    • K. Peng, P. Radovojac, S. Vucetic, A. K. Dunker and Z. Obradovic, "Length-dependent prediction of protein intrinsic disorder," BMC Bioinformatics, vol. 7, pp. 208, 2006. [doi: 10.1186/1471-2105-7-208]
    • (2006) BMC Bioinformatics , vol.7 , pp. 208
    • Peng, K.1    Radovojac, P.2    Vucetic, S.3    Dunker, A.K.4    Obradovic, Z.5
  • 18
    • 0025183708 scopus 로고
    • Basic local alignment search tool
    • [doi:10.1006/jmbi.1990.9999]
    • S. F. Altschul, W. Gish, W. Miller, E. W. Myers, and D. J. Lipman, "Basic local alignment search tool," J. Mol. Biol., vol. 215, pp. 403-410, 1990. [doi:10.1006/jmbi.1990.9999]
    • (1990) J. Mol. Biol , vol.215 , pp. 403-410
    • Altschul, S.F.1    Gish, W.2    Miller, W.3    Myers, E.W.4    Lipman, D.J.5
  • 19
    • 78651566855 scopus 로고    scopus 로고
    • UCI machine learning repository, (last accessed Feb 3, 2010)
    • UCI machine learning repository, http://www.ics.uci.edu/mlearn/mlsummary.html (last accessed Feb 3, 2010)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.