메뉴 건너뛰기




Volumn 11, Issue 3-4, 2008, Pages 309-319

Feature selection, mutual information, and the classification of high-dimensional patterns: Applications to image classification and microarray data analysis

Author keywords

Entropic spanning graphs; Filter feature selection; Microarray; Mutual information

Indexed keywords


EID: 50549092368     PISSN: 14337541     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10044-008-0107-0     Document Type: Article
Times cited : (70)

References (37)
  • 1
    • 33750052587 scopus 로고    scopus 로고
    • What should be expected from feature selection in small-sample settings
    • 19
    • Sima C, Dougherty ER (2006) What should be expected from feature selection in small-sample settings. Bioinformatics 22(19):2430-2436
    • (2006) Bioinformatics , vol.22 , pp. 2430-2436
    • Sima, C.1    Dougherty, E.R.2
  • 3
    • 36348943047 scopus 로고    scopus 로고
    • Fast feature selection from microarray expression data via multiplicative large margin algorithms
    • Thrun S, Saul L, Schölkopf B (eds) MIT Press, Cambridge
    • Gentile C (2003) Fast feature selection from microarray expression data via multiplicative large margin algorithms. In: Thrun S, Saul L, Schölkopf B (eds) Advances in Neural Information Processing Systems 16. MIT Press, Cambridge
    • (2003) Advances in Neural Information Processing Systems , vol.16
    • Gentile, C.1
  • 4
    • 33745561205 scopus 로고    scopus 로고
    • An introduction to variable and feature selection
    • Guyon I, Elisseeff A (2003) An introduction to variable and feature selection. J Mach Learn Res 3:1157-1182
    • (2003) J Mach Learn Res , vol.3 , pp. 1157-1182
    • Guyon, I.1    Elisseeff, A.2
  • 5
    • 33749354173 scopus 로고    scopus 로고
    • Classifier-independent feature selection on the basis of divergence criterion
    • 2
    • Abe N, Kude M, Toyama J, Shimbo M (2006) Classifier-independent feature selection on the basis of divergence criterion. Pattern Anal Appl 9(2):127-137
    • (2006) Pattern Anal Appl , vol.9 , pp. 127-137
    • Abe, N.1    Kude, M.2    Toyama, J.3    Shimbo, M.4
  • 6
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • (1-2)
    • Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Artif Intell 97(1-2):245-271
    • (1997) Artif Intell , vol.97 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 8
    • 33846663504 scopus 로고    scopus 로고
    • Pairwise feature evaluation for constructing reduced representations
    • 1
    • Harol A, Lai C, Pekalska E, Duin RPW (2007) Pairwise feature evaluation for constructing reduced representations. Pattern Anal Appl 10(1):55-68
    • (2007) Pattern Anal Appl , vol.10 , pp. 55-68
    • Harol, A.1    Lai, C.2    Pekalska, E.3    Duin, R.P.W.4
  • 10
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
    • 8
    • Peng H, Long F, Ding C (2005) Feature selection based on mutual information: criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans Pattern Anal Mach Intell 27(8):1226-1238
    • (2005) IEEE Trans Pattern Anal Mach Intell , vol.27 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 11
    • 85032752338 scopus 로고    scopus 로고
    • Applications of entropic spanning graphs
    • 5
    • Hero AO, Michel O (2002) Applications of entropic spanning graphs. IEEE Signal Process Mag 19(5):85-95
    • (2002) IEEE Signal Process Mag , vol.19 , pp. 85-95
    • Hero, A.O.1    Michel, O.2
  • 12
    • 0347585673 scopus 로고    scopus 로고
    • Renyi extrapolation of Shannon entropy
    • 3
    • Zyczkowski K (2003) Renyi extrapolation of Shannon entropy. Open Syst Inf Dyn 10(3):298-310
    • (2003) Open Syst Inf Dyn , vol.10 , pp. 298-310
    • Zyczkowski, K.1
  • 13
    • 34250822407 scopus 로고
    • Estimation of the entropy and information of absolutely continuous random variables
    • 1
    • Mokkadem A (1989) Estimation of the entropy and information of absolutely continuous random variables. IEEE Trans Inf Theory 35(1):193-196
    • (1989) IEEE Trans Inf Theory , vol.35 , pp. 193-196
    • Mokkadem, A.1
  • 14
    • 1942450610 scopus 로고    scopus 로고
    • Extraction by non-parametric mutual information maximization
    • Torkkola K Feature (2003) Extraction by non-parametric mutual information maximization. J Mach Learn Res 3:1415-1438
    • (2003) J Mach Learn Res , vol.3 , pp. 1415-1438
    • Torkkola, K.F.1
  • 16
    • 0041877169 scopus 로고    scopus 로고
    • Estimation of entropy and mutual information
    • Paninski I (2003) Estimation of entropy and mutual information. Neural Comput 15(1):
    • (2003) Neural Comput , vol.15 , Issue.1
    • Paninski, I.1
  • 17
    • 50549092044 scopus 로고
    • Estimating function of probability distribution from a finite set of samples
    • Santa Fe Institute Report TR-93-07-046
    • Wolpert D, Wolf D (1995) Estimating function of probability distribution from a finite set of samples. Los Alamos National Laboratory Report LA-UR-92-4369, Santa Fe Institute Report TR-93-07-046
    • (1995) Los Alamos National Laboratory Report LA-UR-92-4369
    • Wolpert, D.1    Wolf, D.2
  • 21
    • 0029276335 scopus 로고
    • A randomized linear-time algorithm to find minimum spanning trees
    • Karger DR, Klein PN, Tarjan RE (1995) A randomized linear-time algorithm to find minimum spanning trees. J ACM 42(2): 321-328
    • (1995) J ACM , vol.42 , Issue.2 , pp. 321-328
    • Karger, D.R.1    Klein, P.N.2    Tarjan, R.E.3
  • 23
    • 0033184661 scopus 로고    scopus 로고
    • Asymptotic theory of greedy aproximations to minnimal k-point random graphs
    • 6
    • Hero AO, Michel O (1999) Asymptotic theory of greedy aproximations to minnimal k-point random graphs. IEEE Trans Inf Theory 45(6):1921-1939
    • (1999) IEEE Trans Inf Theory , vol.45 , pp. 1921-1939
    • Hero, A.O.1    Michel, O.2
  • 24
    • 0025460006 scopus 로고
    • An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability
    • 1
    • Bertsimas DJ, Van Ryzin G (1990) An asymptotic determination of the minimum spanning tree and minimum matching constants in geometrical probability. Oper Res Lett 9(1):223-231
    • (1990) Oper Res Lett , vol.9 , pp. 223-231
    • Bertsimas, D.J.1    Van Ryzin, G.2
  • 25
    • 34047195663 scopus 로고    scopus 로고
    • EBEM an entropy-based em algorithm for Gaussian mixture models
    • Peñalver A, Escolano F, Sáez JM (2006) EBEM an entropy-based EM algorithm for Gaussian mixture models. ICPR 451-455
    • (2006) ICPR , pp. 451-455
    • Peñalver, A.1    Escolano, F.2    Sáez, J.M.3
  • 26
    • 0003602590 scopus 로고    scopus 로고
    • Object recognition in man, monkey, and machine
    • MIT Press, Massachusetts
    • Tarr MJ, Bülthoff HH (1999) Object recognition in man, monkey, and machine. Cognition Special Issues, MIT Press, Massachusetts
    • (1999) Cognition Special Issues
    • Tarr, M.J.1    Bülthoff, H.H.2
  • 27
    • 0027372185 scopus 로고
    • Visual pattern recognition in Drosophila involves retinotopic matching
    • 6448
    • Dill M, Wolf R, Heisenberg M (1993) Visual pattern recognition in Drosophila involves retinotopic matching. Nature 365(6448):639-644
    • (1993) Nature , vol.365 , pp. 639-644
    • Dill, M.1    Wolf, R.2    Heisenberg, M.3
  • 28
    • 9644297209 scopus 로고    scopus 로고
    • Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin
    • Meese TS, Hess RF (2004) Low spatial frequencies are suppressively masked across spatial scale, orientation, field position, and eye of origin. J Vis 4(10):843-859
    • (2004) J Vis , vol.4 , Issue.10 , pp. 843-859
    • Meese, T.S.1    Hess, R.F.2
  • 30
    • 25144503000 scopus 로고    scopus 로고
    • Object recognition and pose estimation using color cooccurrence histograms and geometric modeling
    • Ekvall S, Kragic D, Hoffmann F (2005) Object recognition and pose estimation using color cooccurrence histograms and geometric modeling. Image Vis Comput 23:943-955
    • (2005) Image Vis Comput , vol.23 , pp. 943-955
    • Ekvall, S.1    Kragic, D.2    Hoffmann, F.3
  • 32
    • 0037494667 scopus 로고    scopus 로고
    • Gene selection in microarray data: The elephant, the blind men and our algorithms
    • Stolovitzky G (2003) Gene selection in microarray data: the elephant, the blind men and our algorithms. Curr Opin Struct Biol 13(3):370-376
    • (2003) Curr Opin Struct Biol , vol.13 , Issue.3 , pp. 370-376
    • Stolovitzky, G.1
  • 33
    • 25444528447 scopus 로고    scopus 로고
    • Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
    • Jirapech-Umpai T, Aitken S (2005) Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes. BMC Bioinformatics 6:148
    • (2005) BMC Bioinformatics , vol.6 , pp. 148
    • Jirapech-Umpai, T.1    Aitken, S.2
  • 34
    • 33748806803 scopus 로고    scopus 로고
    • Individualized markers optimize class prediction of microarray data
    • Pavlidis P, Poirazi P (2006) Individualized markers optimize class prediction of microarray data. BMC Bioinformatics 7:345
    • (2006) BMC Bioinformatics , vol.7 , pp. 345
    • Pavlidis, P.1    Poirazi, P.2
  • 35
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using random forest
    • doi: 10.1186/1471-2105-7-3
    • Díaz-Uriate R, Alvarez de Andrés S (2006) Gene selection and classification of microarray data using random forest. BMC Bioinformatics 7(1):3. doi: 10.1186/1471-2105-7-3
    • (2006) BMC Bioinformatics , vol.7 , Issue.1 , pp. 3
    • Díaz-Uriate, R.1    Alvarez De Andrés, S.2
  • 36
    • 33748416594 scopus 로고    scopus 로고
    • Incremental wrapper-based gene selection from microarray data for cancer classification
    • 12
    • Ruiz R, Riquelme JC, Aguilar-Ruiz JS (2006) Incremental wrapper-based gene selection from microarray data for cancer classification. Pattern Recognit 39(12):2383-2392
    • (2006) Pattern Recognit , vol.39 , pp. 2383-2392
    • Ruiz, R.1    Riquelme, J.C.2    Aguilar-Ruiz, J.S.3
  • 37
    • 19044391072 scopus 로고    scopus 로고
    • Gene expression correlates of clinical prostate cancer behavior
    • doi: 10.1016/s1535-6108(02)00030-2
    • Singh D, Febbo PG et al. (2002) Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1(2):203-209. doi: 10.1016/s1535-6108(02) 00030-2
    • (2002) Cancer Cell , vol.1 , Issue.2 , pp. 203-209
    • Singh, D.1    Febbo, P.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.