메뉴 건너뛰기




Volumn 40, Issue 2, 2014, Pages 291-304

Ensemble canonical correlation analysis

Author keywords

Bagging weak covariates; Canonical correlation analysis (CCA) for feature extraction; CCA with resampling; Ensemble dimensionality reduction; Ensemble learning

Indexed keywords


EID: 84894572327     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-013-0464-2     Document Type: Article
Times cited : (14)

References (50)
  • 1
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • Hotelling H (1936) Relations between two sets of variates. Biometrika 28:312-377
    • (1936) Biometrika , vol.28 , pp. 312-377
    • Hotelling, H.1
  • 2
    • 10044285992 scopus 로고    scopus 로고
    • Canonical correlation analysis: An overview with application to learning methods
    • 10.1162/0899766042321814 1062.68134
    • Hardoon DR, Szedmak S, Shawe-Taylor J (2004) Canonical correlation analysis: an overview with application to learning methods. Neural Comput 16:2639-2664
    • (2004) Neural Comput , vol.16 , pp. 2639-2664
    • Hardoon, D.R.1    Szedmak, S.2    Shawe-Taylor, J.3
  • 3
    • 0000020007 scopus 로고
    • Canonical analysis of several sets of variables
    • 10.1093/biomet/58.3.433 0225.62072 341750
    • Kettenring JR (1971) Canonical analysis of several sets of variables. Biometrika 58:433-451
    • (1971) Biometrika , vol.58 , pp. 433-451
    • Kettenring, J.R.1
  • 4
    • 78049508291 scopus 로고    scopus 로고
    • Canonical correlation analysis using within-class coupling
    • 10.1016/j.patrec.2010.09.025
    • Kursun O, Alpaydin E, Favorov OV (2011) Canonical correlation analysis using within-class coupling. Pattern Recognit Lett 32(2):134-144
    • (2011) Pattern Recognit Lett , vol.32 , Issue.2 , pp. 134-144
    • Kursun, O.1    Alpaydin, E.2    Favorov, O.V.3
  • 5
    • 79957514113 scopus 로고    scopus 로고
    • Semi-supervised kernel canonical correlation analysis with application to human fMRI
    • 10.1016/j.patrec.2011.02.011
    • Blaschko MB, Shelton JA, Bartels A, Lampert CH, Gretton A (2011) Semi-supervised kernel canonical correlation analysis with application to human fMRI. Pattern Recognit Lett 32(11):1572-1583
    • (2011) Pattern Recognit Lett , vol.32 , Issue.11 , pp. 1572-1583
    • Blaschko, M.B.1    Shelton, J.A.2    Bartels, A.3    Lampert, C.H.4    Gretton, A.5
  • 7
    • 70350642099 scopus 로고    scopus 로고
    • Correlating multiple SNPs and multiple disease phenotypes: Penalized non-linear canonical correlation analysis
    • 10.1093/bioinformatics/btp491
    • Waaijenborg S, Zwinderman AH (2009) Correlating multiple SNPs and multiple disease phenotypes: penalized non-linear canonical correlation analysis. Bioinformatics 25(21):2764-2771
    • (2009) Bioinformatics , vol.25 , Issue.21 , pp. 2764-2771
    • Waaijenborg, S.1    Zwinderman, A.H.2
  • 8
    • 41549093160 scopus 로고    scopus 로고
    • Simple integrative preprocessing preserves what is shared in data sources
    • doi: 10.1186/1471-2105-9-111
    • Tripathi A, Klami A, Kaski S (2008) Simple integrative preprocessing preserves what is shared in data sources. BMC Bioinform 9(111). doi: 10.1186/1471-2105-9-111
    • (2008) BMC Bioinform , vol.9 , Issue.111
    • Tripathi, A.1    Klami, A.2    Kaski, S.3
  • 9
    • 84857856475 scopus 로고    scopus 로고
    • Application of canonical correlation analysis for identifying viral integration preferences
    • 10.1093/bioinformatics/bts027
    • Gumus E, Kursun O, Sertbas A, Ustek D (2012) Application of canonical correlation analysis for identifying viral integration preferences. Bioinformatics 28(5):651-655
    • (2012) Bioinformatics , vol.28 , Issue.5 , pp. 651-655
    • Gumus, E.1    Kursun, O.2    Sertbas, A.3    Ustek, D.4
  • 10
    • 43849083097 scopus 로고    scopus 로고
    • Canonical correlation analysis for the vector AR(1) model with ARCH innovations
    • 10.1016/j.jspi.2008.03.022 1141.62047 2422401
    • Tsay RS, Ling S (2008) Canonical correlation analysis for the vector AR(1) model with ARCH innovations. J Stat Plan Inference 138(9):2826-2836
    • (2008) J Stat Plan Inference , vol.138 , Issue.9 , pp. 2826-2836
    • Tsay, R.S.1    Ling, S.2
  • 11
    • 77951271659 scopus 로고    scopus 로고
    • Representation-constrained canonical correlation analysis: A hybridization of canonical correlation and principal component analyses
    • Mishra SK (2009) Representation-constrained canonical correlation analysis: a hybridization of canonical correlation and principal component analyses. J Appl Econ Sci IV(7):115-124
    • (2009) J Appl Econ Sci , vol.4 , Issue.7 , pp. 115-124
    • Mishra, S.K.1
  • 12
    • 0038103065 scopus 로고
    • Influence in canonical correlation analysis
    • 10.1007/BF02294507 0760.62056 1173591
    • Romanazzi M (1992) Influence in canonical correlation analysis. Psychometrika 57:237-259
    • (1992) Psychometrika , vol.57 , pp. 237-259
    • Romanazzi, M.1
  • 13
    • 15744390190 scopus 로고    scopus 로고
    • Robust canonical correlations: A comparative study
    • 10.1007/BF02789700 1090.62056 2323973
    • Branco JA, Croux C, Filzmoser P, Oliveira MR (2005) Robust canonical correlations: a comparative study. Comput Stat 20:203-229
    • (2005) Comput Stat , vol.20 , pp. 203-229
    • Branco, J.A.1    Croux, C.2    Filzmoser, P.3    Oliveira, M.R.4
  • 14
    • 80255131236 scopus 로고    scopus 로고
    • A method for combining mutual information and canonical correlation analysis: Predictive mutual information and its use in feature selection
    • 10.1016/j.eswa.2011.09.020
    • Sakar CO, Kursun O (2012) A method for combining mutual information and canonical correlation analysis: predictive mutual information and its use in feature selection. Expert Syst Appl 39(3):3333-3344
    • (2012) Expert Syst Appl , vol.39 , Issue.3 , pp. 3333-3344
    • Sakar, C.O.1    Kursun, O.2
  • 15
    • 0033485911 scopus 로고    scopus 로고
    • A neural implementation of canonical correlation analysis
    • 10.1016/S0893-6080(99)00075-1
    • Lai PL, Fyfe C (1999) A neural implementation of canonical correlation analysis. Neural Netw 12(10):1391-1397
    • (1999) Neural Netw , vol.12 , Issue.10 , pp. 1391-1397
    • Lai, P.L.1    Fyfe, C.2
  • 16
    • 0034551784 scopus 로고    scopus 로고
    • Nonlinear canonical correlation analysis by neural networks
    • 10.1016/S0893-6080(00)00067-8
    • Hsieh WW (2000) Nonlinear canonical correlation analysis by neural networks. Neural Netw 13(10):1095-1105
    • (2000) Neural Netw , vol.13 , Issue.10 , pp. 1095-1105
    • Hsieh, W.W.1
  • 17
    • 33845646938 scopus 로고    scopus 로고
    • A learning algorithm for adaptive canonical correlation analysis of several data sets
    • 10.1016/j.neunet.2006.09.011 1158.68459
    • Via J, Santamaria I, Perez J (2007) A learning algorithm for adaptive canonical correlation analysis of several data sets. Neural Netw 20:139-152
    • (2007) Neural Netw , vol.20 , pp. 139-152
    • Via, J.1    Santamaria, I.2    Perez, J.3
  • 18
    • 29444451983 scopus 로고
    • Robust canonical correlation and correspondence analysis
    • Proceedings of ICOSCO-I, The first international conference on statistical computing II American Sciences Press Strassbourg
    • Karnel G (1991) Robust canonical correlation and correspondence analysis. In: The frontiers of statistical scientific and industrial applications. Proceedings of ICOSCO-I, The first international conference on statistical computing, vol II. American Sciences Press, Strassbourg, pp 335-354
    • (1991) The Frontiers of Statistical Scientific and Industrial Applications , pp. 335-354
    • Karnel, G.1
  • 19
    • 0012804457 scopus 로고    scopus 로고
    • Analyse canonique basee sur des estimateurs robustes de la matrice de covariance
    • Croux C, Dehon C (2002) Analyse canonique basee sur des estimateurs robustes de la matrice de covariance. Rev Stat Appl 2:5-26
    • (2002) Rev Stat Appl , vol.2 , pp. 5-26
    • Croux, C.1    Dehon, C.2
  • 20
    • 29444449787 scopus 로고    scopus 로고
    • Canonical analysis based on scatter matrices
    • 10.1016/j.jmva.2005.03.005 1085.62078 2234028
    • Taskinen S, Croux C, Kankainen A, Ollila E, Oja H (2006) Canonical analysis based on scatter matrices. J Multivar Anal 97(2):359-384
    • (2006) J Multivar Anal , vol.97 , Issue.2 , pp. 359-384
    • Taskinen, S.1    Croux, C.2    Kankainen, A.3    Ollila, E.4    Oja, H.5
  • 23
    • 33745859053 scopus 로고    scopus 로고
    • A probabilistic interpretation of canonical correlation analysis
    • University of California, Berkeley
    • Bach FR, Jordan MI (2005) A probabilistic interpretation of canonical correlation analysis. Tech Rep 688, Department of Statistics, University of California, Berkeley
    • (2005) Tech Rep 688, Department of Statistics
    • Bach, F.R.1    Jordan, M.I.2
  • 26
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • 0858.68080 1425957
    • Breiman L (1996) Bagging predictors. Mach Learn 24(2):123-140
    • (1996) Mach Learn , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 28
    • 84925487039 scopus 로고    scopus 로고
    • Multiclassier systems: Back to the future, (invited paper)
    • F. Roli J. Kittler (eds) Springer Berlin 10.1007/3-540-45428-4-1
    • Ghosh J (2002) Multiclassier systems: back to the future, (invited paper). In: Roli F, Kittler J (eds) Multiple classier systems. Springer, Berlin, pp 1-15
    • (2002) Multiple Classier Systems , pp. 1-15
    • Ghosh, J.1
  • 30
    • 84857820925 scopus 로고    scopus 로고
    • A new selective neural network ensemble with negative correlation
    • 10.1007/s10489-012-0342-3 10.1007/s10489-012-0342-3
    • Lee H, Kim E, Pedrycz W (2013) A new selective neural network ensemble with negative correlation. Appl Intell 37(4):488-498. doi: 10.1007/s10489-012- 0342-3
    • (2013) Appl Intell , vol.37 , Issue.4 , pp. 488-498
    • Lee, H.1    Kim, E.2    Pedrycz, W.3
  • 31
    • 84867674936 scopus 로고    scopus 로고
    • Ensemble-based regression analysis of multimodal medical data for osteopenia diagnosis
    • 10.1016/j.eswa.2012.08.031 10.1016/j.eswa.2012.08.031
    • Tay WL, Chui CK, Ong SH, Ng ACM (2013) Ensemble-based regression analysis of multimodal medical data for osteopenia diagnosis. Expert Syst Appl 40(2):811-819. doi: 10.1016/j.eswa.2012.08.031
    • (2013) Expert Syst Appl , vol.40 , Issue.2 , pp. 811-819
    • Tay, W.L.1    Chui, C.K.2    Ong, S.H.3    Ng, A.C.M.4
  • 32
    • 84864744928 scopus 로고    scopus 로고
    • Improving the accuracy of prediction of PM10 pollution by the wavelet transformation and an ensemble of neural predictors
    • 10.1016/j.engappai.2011.10.013 10.1016/j.engappai.2011.10.013
    • Siwek K, Osowski S (2012) Improving the accuracy of prediction of PM10 pollution by the wavelet transformation and an ensemble of neural predictors. Eng Appl Artif Intell 25(6):1246-1258. doi: 10.1016/j.engappai.2011.10.013
    • (2012) Eng Appl Artif Intell , vol.25 , Issue.6 , pp. 1246-1258
    • Siwek, K.1    Osowski, S.2
  • 33
    • 84862131568 scopus 로고    scopus 로고
    • A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection
    • 10.1007/s10489-010-0263-y
    • Khor KC, Ting CY, Phon-Amnuaisuk S (2012) A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection. Appl Intell 36(2):320-329
    • (2012) Appl Intell , vol.36 , Issue.2 , pp. 320-329
    • Khor, K.C.1    Ting, C.Y.2    Phon-Amnuaisuk, S.3
  • 34
    • 84865137634 scopus 로고    scopus 로고
    • Parallel multi-swarm optimizer for gene selection in DNA microarrays
    • 10.1007/s10489-011-0325-9
    • Garcia-Nieto J, Alba E (2012) Parallel multi-swarm optimizer for gene selection in DNA microarrays. Appl Intell 37(2):255-266
    • (2012) Appl Intell , vol.37 , Issue.2 , pp. 255-266
    • Garcia-Nieto, J.1    Alba, E.2
  • 35
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • 1991087
    • Strehl A, Ghosh J (2002) Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J Mach Learn Res 3:583-617
    • (2002) J Mach Learn Res , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 36
    • 84876166404 scopus 로고    scopus 로고
    • Dynamic clustering using combinatorial particle swarm optimization
    • 10.1007/s10489-012-0373-9 10.1007/s10489-012-0373-9
    • Masoud H, Jalili S, Hasheminejad SMH (2013) Dynamic clustering using combinatorial particle swarm optimization. Appl Intell 38(3):289-314. doi: 10.1007/s10489-012-0373-9
    • (2013) Appl Intell , vol.38 , Issue.3 , pp. 289-314
    • Masoud, H.1    Jalili, S.2    Hasheminejad, S.M.H.3
  • 37
    • 75749158471 scopus 로고    scopus 로고
    • On voting-based consensus of cluster ensembles
    • 10.1016/j.patcog.2009.11.012 1191.68552
    • Ayad HG, Kamel MS (2010) On voting-based consensus of cluster ensembles. Pattern Recognit 43(5):1943-1953
    • (2010) Pattern Recognit , vol.43 , Issue.5 , pp. 1943-1953
    • Ayad, H.G.1    Kamel, M.S.2
  • 38
    • 80053646161 scopus 로고    scopus 로고
    • Combining multiple clusterings using fast simulated annealing
    • 10.1016/j.patrec.2011.09.022
    • Lu Z, Peng Y, Horace HS (2011) Combining multiple clusterings using fast simulated annealing. Pattern Recognit Lett 32(15):1956-1961
    • (2011) Pattern Recognit Lett , vol.32 , Issue.15 , pp. 1956-1961
    • Lu, Z.1    Peng, Y.2    Horace, H.S.3
  • 39
    • 78649326845 scopus 로고    scopus 로고
    • Combining multiple clusterings using similarity graph
    • 10.1016/j.patcog.2010.09.008 1209.68474
    • Mimaroglu S, Erdil E (2011) Combining multiple clusterings using similarity graph. Pattern Recognit 44:694-703
    • (2011) Pattern Recognit , vol.44 , pp. 694-703
    • Mimaroglu, S.1    Erdil, E.2
  • 40
    • 79551510424 scopus 로고    scopus 로고
    • A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples
    • 10.1016/j.patcog.2010.12.011 1209.68499
    • Zhang J, Zhang D (2011) A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognit 44:1162-1171
    • (2011) Pattern Recognit , vol.44 , pp. 1162-1171
    • Zhang, J.1    Zhang, D.2
  • 41
    • 0037098792 scopus 로고    scopus 로고
    • Ensemble canonical correlation prediction of precipitation over the Sahel
    • 10.1029/2002GL015075
    • Mo KC, Thiaw WM (2002) Ensemble canonical correlation prediction of precipitation over the Sahel. Geophys Res Lett 29(12):4
    • (2002) Geophys Res Lett , vol.29 , Issue.12 , pp. 4
    • Mo, K.C.1    Thiaw, W.M.2
  • 47
    • 36948999941 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science Irvine, CA
    • Asuncion A, Newman DJ (2007) UCI machine learning repository. University of California, Department of Information and Computer Science, Irvine, CA
    • (2007) UCI Machine Learning Repository
    • Asuncion, A.1    Newman, D.J.2
  • 50
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • 10.1109/TNN.2002.1000139
    • Hsu CW, Lin CJ (2002) A comparison of methods for multi-class support vector machines. IEEE Trans Neural Netw 13:415-425
    • (2002) IEEE Trans Neural Netw , vol.13 , pp. 415-425
    • Hsu, C.W.1    Lin, C.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.