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Volumn 34, Issue 9, 2014, Pages 2925-2939

A new method to compute the principal components from self-organizing maps: An application to monsoon intraseasonal oscillations

Author keywords

Extended EOF analysis; Monsoon intraseasonal oscillation; Principal component analysis; Self organizing maps

Indexed keywords

ATMOSPHERIC THERMODYNAMICS; MICROCOMPUTERS; NANOFLUIDICS; PHASE SPACE METHODS; PRINCIPAL COMPONENT ANALYSIS; SELF ORGANIZING MAPS; TROPICAL ENGINEERING;

EID: 84903788799     PISSN: 08998418     EISSN: 10970088     Source Type: Journal    
DOI: 10.1002/joc.3885     Document Type: Article
Times cited : (12)

References (50)
  • 1
    • 78650226883 scopus 로고    scopus 로고
    • A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage
    • DOI: 10.1080/17489725.2010.532816
    • Andrienko G, Andrienko N, Bak P, Bremm S, Keim D, von Landesberger, Pölitza C, Schreck T. 2010. A framework for using self-organising maps to analyse spatio-temporal patterns, exemplified by analysis of mobile phone usage. J. Locat. Based Serv. 4(3-4): 200-221, DOI: 10.1080/17489725.2010.532816
    • (2010) J. Locat. Based Serv. , vol.4 , Issue.3-4 , pp. 200-221
    • Andrienko, G.1    Andrienko, N.2    Bak, P.3    Bremm, S.4    Keim, D.5    von, L.6    Pölitza, C.7    Schreck, T.8
  • 2
    • 3743089293 scopus 로고    scopus 로고
    • Empirical orthogonal functions of monthly precipitation and temperature over the United States and homogeneous stochastic models
    • Calahan R, Whartom L, Wu M-L. 1996. Empirical orthogonal functions of monthly precipitation and temperature over the United States and homogeneous stochastic models. J. Geophys. Res. 101(D21): 26309-26318.
    • (1996) J. Geophys. Res. , vol.101 , Issue.D21 , pp. 26309-26318
    • Calahan, R.1    Whartom, L.2    Wu, M.-L.3
  • 3
    • 45849095764 scopus 로고    scopus 로고
    • Objective identification of nonlinear convectively coupled phases of monsoon intraseasonal oscillation: implications for prediction
    • Chattopadhyay R, Sahai AK, Goswami B. 2008. Objective identification of nonlinear convectively coupled phases of monsoon intraseasonal oscillation: implications for prediction. J. Atmos. Sci. 65: 1549-1569.
    • (2008) J. Atmos. Sci. , vol.65 , pp. 1549-1569
    • Chattopadhyay, R.1    Sahai, A.K.2    Goswami, B.3
  • 4
    • 84859727453 scopus 로고    scopus 로고
    • Principal component analysis and self organizing map for visual clustering of machine-part cell formation in cellular manufacturing system
    • DOI:10.1142/S179396661100028x.
    • Chattopadhyay M, Dan PK, Majumdar S. 2011. Principal component analysis and self organizing map for visual clustering of machine-part cell formation in cellular manufacturing system. System Res. Forum 5: 25-51, DOI:10.1142/S179396661100028x. http://arxiv.org/abs/1201.5524.
    • (2011) System Res. Forum , vol.5 , pp. 25-51
    • Chattopadhyay, M.1    Dan, P.K.2    Majumdar, S.3
  • 5
    • 84874806738 scopus 로고    scopus 로고
    • A description of the Madden-Julian oscillation based on self organizing map
    • DOI: 10.1175/JCLI-D-12-00123.1.
    • Chattopadhyay R, Vintzileos A, Zhang C. 2013. A description of the Madden-Julian oscillation based on self organizing map. J. Climate 26: 1716-1732, DOI: 10.1175/JCLI-D-12-00123.1.
    • (2013) J. Climate , vol.26 , pp. 1716-1732
    • Chattopadhyay, R.1    Vintzileos, A.2    Zhang, C.3
  • 6
    • 4844222391 scopus 로고    scopus 로고
    • Strategies for model reduction: comparing different optimal bases
    • Crommelin DT, Majda AJ. 2004. Strategies for model reduction: comparing different optimal bases. J. Atmos. Sci. 61: 2206-2217.
    • (2004) J. Atmos. Sci. , vol.61 , pp. 2206-2217
    • Crommelin, D.T.1    Majda, A.J.2
  • 7
    • 33847121674 scopus 로고    scopus 로고
    • Evaluating EOF modes against a stochastic null hypothesis
    • DOI: 10.1007/s00382-006-0195-8.
    • Dommenget D. 2007. Evaluating EOF modes against a stochastic null hypothesis. Clim. Dynam. 28: 517-531, DOI: 10.1007/s00382-006-0195-8.
    • (2007) Clim. Dynam. , vol.28 , pp. 517-531
    • Dommenget, D.1
  • 8
    • 0037079749 scopus 로고    scopus 로고
    • A cautionary note on the interpretation of EOFs
    • Dommenget D, Latif M. 2002. A cautionary note on the interpretation of EOFs. J. Climate 15: 216-225.
    • (2002) J. Climate , vol.15 , pp. 216-225
    • Dommenget, D.1    Latif, M.2
  • 9
    • 0029749584 scopus 로고    scopus 로고
    • Spatio-temporal self-organizing feature maps
    • DOI: 10.1109/ICNN.1996.549192.
    • Euliano NR, Principe JC. 1996. Spatio-temporal self-organizing feature maps. Proc. ICNN 4: 1906-1911, DOI: 10.1109/ICNN.1996.549192.
    • (1996) Proc. ICNN , vol.4 , pp. 1906-1911
    • Euliano, N.R.1    Principe, J.C.2
  • 10
    • 84889436404 scopus 로고    scopus 로고
    • Spatio-temporal analysis with the self-organizing feature map
    • DOI: 10.1007/PL00011647.
    • George SE. 2000. Spatio-temporal analysis with the self-organizing feature map. Knowl Inf Syst 2(3): 359-372, DOI: 10.1007/PL00011647.
    • (2000) Knowl Inf Syst , vol.2 , Issue.3 , pp. 359-372
    • George, S.E.1
  • 11
    • 27744450847 scopus 로고    scopus 로고
    • South Asian Monsoon: in Intraseasonal Variability of the Atmosphere-Ocean Climate System
    • (eds.), Chapter 2, Praxis, Springer: Berlin, Heidelberg.
    • Goswami BN. 2005. South Asian Monsoon: in Intraseasonal Variability of the Atmosphere-Ocean Climate System, William K, Lau M, Waliser DE (eds.), Chapter 2, Praxis, Springer: Berlin, Heidelberg; 19-55.
    • (2005) , pp. 19-55
    • Goswami, B.N.1
  • 13
    • 0034253313 scopus 로고    scopus 로고
    • A new approach to detect and characterize intermittent atmospheric oscillations: application to the intraseasonal oscillation
    • Goulet L, Duvel JP. 2000. A new approach to detect and characterize intermittent atmospheric oscillations: application to the intraseasonal oscillation. J. Atmos. Sci. 57: 2397-2416.
    • (2000) J. Atmos. Sci. , vol.57 , pp. 2397-2416
    • Goulet, L.1    Duvel, J.P.2
  • 14
    • 34447617023 scopus 로고    scopus 로고
    • Empirical orthogonal functions and related techniques in atmospheric science: a review
    • DOI: 10.1002/joc.1499.
    • Hannachi A, Jolliffe IT, Stephenson DB. 2007. Empirical orthogonal functions and related techniques in atmospheric science: a review. Int. J. Climatol. 27(9): 1119-1152, DOI: 10.1002/joc.1499.
    • (2007) Int. J. Climatol. , vol.27 , Issue.9 , pp. 1119-1152
    • Hannachi, A.1    Jolliffe, I.T.2    Stephenson, D.B.3
  • 16
    • 0000512114 scopus 로고
    • The life cycle of the Madden-Julian oscillation
    • Hendon HH, Salby ML. 1994. The life cycle of the Madden-Julian oscillation. J. Atmos. Sci. 51: 2225-2237.
    • (1994) J. Atmos. Sci. , vol.51 , pp. 2225-2237
    • Hendon, H.H.1    Salby, M.L.2
  • 17
    • 0345062510 scopus 로고    scopus 로고
    • The influence function of principal component analysis by self-organizing rule
    • Higuchi I, Eguchi S. 1998. The influence function of principal component analysis by self-organizing rule. Neural Comput. 10(6): 1435-1444.
    • (1998) Neural Comput. , vol.10 , Issue.6 , pp. 1435-1444
    • Higuchi, I.1    Eguchi, S.2
  • 18
    • 0029528541 scopus 로고
    • Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information
    • Huffmann GJ, Adler RF, Rudlof B, Schneider U, Keehn PR. 1995. Global precipitation estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model precipitation information. J. Climate 8: 1284-1295.
    • (1995) J. Climate , vol.8 , pp. 1284-1295
    • Huffmann, G.J.1    Adler, R.F.2    Rudlof, B.3    Schneider, U.4    Keehn, P.R.5
  • 19
    • 84903762372 scopus 로고    scopus 로고
    • Comparison of pattern extraction capability between self-organizing maps and principal component analysis
    • Iseri Y, Matsuura T, Iizuka S, Nishiyama K & Jinno K. 2009. Comparison of pattern extraction capability between self-organizing maps and principal component analysis. https://qir.kyushu-u.ac.jp/dspace/handle/2324/14898.
    • (2009)
    • Iseri, Y.1    Matsuura, T.2    Iizuka, S.3    Nishiyama, K.4    Jinno, K.5
  • 20
    • 80455150406 scopus 로고    scopus 로고
    • Can El Niño-Southern Oscillation (ENSO) events modulate intraseasonal oscillations of Indian summer monsoon?
    • DOI: 10.1029/2010JD015510
    • Joseph S, Sahai AK, Chattopadhyay R, Goswami BN. 2012. Can El Niño-Southern Oscillation (ENSO) events modulate intraseasonal oscillations of Indian summer monsoon? J. Geophys. Res. 116(D20123), DOI: 10.1029/2010JD015510. http://adsabs.harvard.edu/abs/2011JGRD.11620123J.
    • (2012) J. Geophys. Res. , vol.116 , Issue.D20123
    • Joseph, S.1    Sahai, A.K.2    Chattopadhyay, R.3    Goswami, B.N.4
  • 21
    • 0348139702 scopus 로고    scopus 로고
    • Dimension reduction by local principal component analysis
    • Kambhatla N, Leen TK. 1997. Dimension reduction by local principal component analysis. Neural Comput. 9: 1493-1516.
    • (1997) Neural Comput. , vol.9 , pp. 1493-1516
    • Kambhatla, N.1    Leen, T.K.2
  • 22
    • 0025489075 scopus 로고
    • The self organizing maps
    • Kohenen T. 1990. The self organizing maps. Proc. IEEE 78: 1464-1480.
    • (1990) Proc. IEEE , vol.78 , pp. 1464-1480
    • Kohenen, T.1
  • 24
    • 0017007228 scopus 로고
    • Oscillations of a monsoon system. Part 1. Observational aspects
    • Krishnamurti T. 1976. Oscillations of a monsoon system. Part 1. Observational aspects. J. Atmos. Sci. 33: 1937-1954.
    • (1976) J. Atmos. Sci. , vol.33 , pp. 1937-1954
    • Krishnamurti, T.1
  • 25
    • 34547567795 scopus 로고    scopus 로고
    • Improved principal component monitoring using the local approach
    • DOI: 10.1016/j.automatica.2007.02.016.
    • Kruger U, Kumar S, Littler T. 2007. Improved principal component monitoring using the local approach. Automatica 43(9): 1532-1542, DOI: 10.1016/j.automatica.2007.02.016.
    • (2007) Automatica , vol.43 , Issue.9 , pp. 1532-1542
    • Kruger, U.1    Kumar, S.2    Littler, T.3
  • 26
    • 23144442853 scopus 로고    scopus 로고
    • Patterns of ocean current variability on the West Florida Shelf using the self-organizing map
    • DOI: 10.1029/2004JC002786.
    • Liu Y, Weisberg RH. 2005. Patterns of ocean current variability on the West Florida Shelf using the self-organizing map. J. Geophys. Res. 110: C06003, DOI: 10.1029/2004JC002786.
    • (2005) J. Geophys. Res. , vol.110
    • Liu, Y.1    Weisberg, R.H.2
  • 27
    • 0345257348 scopus 로고    scopus 로고
    • Topological local principal component analysis
    • DOI: 10.1016/S0925-2312(03)00414-4.
    • Liu Z-Y, Xu L. 2003. Topological local principal component analysis. Neurocomputing 55(3-4): 739-745, DOI: 10.1016/S0925-2312(03)00414-4.
    • (2003) Neurocomputing , vol.55 , Issue.3-4 , pp. 739-745
    • Liu, Z.-Y.1    Xu, L.2
  • 28
    • 33745839757 scopus 로고    scopus 로고
    • Performance evaluation of the self-organizing map for feature extraction
    • Liu Y, Weisberg RH, Moers CN. 2006. Performance evaluation of the self-organizing map for feature extraction. J. Geophys. Res. 111: C05018.
    • (2006) J. Geophys. Res. , vol.111
    • Liu, Y.1    Weisberg, R.H.2    Moers, C.N.3
  • 29
    • 1242293126 scopus 로고    scopus 로고
    • A principal components analysis self-organizing map
    • DOI: 10.1016/j.neunet.2003.04.001.
    • López-Rubio E, Muñoz-Pérez J, Gómez-Ruiz JA. 2004. A principal components analysis self-organizing map. Neural Netw. 17(2): 261-270, DOI: 10.1016/j.neunet.2003.04.001.
    • (2004) Neural Netw. , vol.17 , Issue.2 , pp. 261-270
    • López-Rubio, E.1    Muñoz-Pérez, J.2    Gómez-Ruiz, J.A.3
  • 30
    • 0000107799 scopus 로고
    • Description of global scale circulation cells in the Tropics with a 40-50 day period
    • Madden R, Julian P. 1972. Description of global scale circulation cells in the Tropics with a 40-50 day period. J. Atmos. Sci. 29: 1109-1123.
    • (1972) J. Atmos. Sci. , vol.29 , pp. 1109-1123
    • Madden, R.1    Julian, P.2
  • 31
    • 84870475304 scopus 로고    scopus 로고
    • Physics constrained nonlinear regression models for time series
    • DOI: 10.1088/0951-7715/26/1/201.
    • Majda AJ, Harlim J. 2013. Physics constrained nonlinear regression models for time series. Nonlinearity 26(1): 201, DOI: 10.1088/0951-7715/26/1/201.
    • (2013) Nonlinearity , vol.26 , Issue.1 , pp. 201
    • Majda, A.J.1    Harlim, J.2
  • 32
    • 45149101451 scopus 로고    scopus 로고
    • An applied mathematics perspective on stochastic modelling for climate
    • DOI: 10.1098/rsta.2008.0012.
    • Majda AJ, Franzke C, Khouider B. 2008. An applied mathematics perspective on stochastic modelling for climate. Phil. Trans. Roy. Soc A: Math. Phys. Eng. Sci. 366(1875): 2427-2453, DOI: 10.1098/rsta.2008.0012.
    • (2008) Phil. Trans. Roy. Soc A: Math. Phys. Eng. Sci. , vol.366 , Issue.1875 , pp. 2427-2453
    • Majda, A.J.1    Franzke, C.2    Khouider, B.3
  • 35
    • 0001313431 scopus 로고
    • Sampling errors in the estimation of empirical orthogonal functions
    • North GR, Bell TL, Calahan RF, Moeng FJ. 1982. Sampling errors in the estimation of empirical orthogonal functions. Mon. Weather Rev. 110: 699-706.
    • (1982) Mon. Weather Rev. , vol.110 , pp. 699-706
    • North, G.R.1    Bell, T.L.2    Calahan, R.F.3    Moeng, F.J.4
  • 36
    • 84869021994 scopus 로고    scopus 로고
    • A self-organizing maps multivariate spatio-temporal approach for the classification of atmospheric conditions
    • In Huang T, Zeng Z, Li C, Leung CS (eds.), Springer: Berlin, Heidelberg;
    • Phillippopoulos K, Delligiorgi D. 2012. A self-organizing maps multivariate spatio-temporal approach for the classification of atmospheric conditions. In Neural information processing. Huang T, Zeng Z, Li C, Leung CS (eds.), Springer: Berlin, Heidelberg; 544-551.
    • (2012) Neural information processing , pp. 544-551
    • Phillippopoulos, K.1    Delligiorgi, D.2
  • 37
    • 0019101288 scopus 로고
    • On the maximum cloud zone and the ITCZ over Indian, longitudes during the southwest monsoon
    • DOI: 10.1175/1520-0493(1980)108<1840:OTMCZA>2.0.CO;2.
    • Sikka DR, Gadgil S. 1980. On the maximum cloud zone and the ITCZ over Indian, longitudes during the southwest monsoon. Mon. Weather Rev. 108(11): 1840-1853, DOI: 10.1175/1520-0493(1980)108<1840:OTMCZA>2.0.CO;2.
    • (1980) Mon. Weather Rev. , vol.108 , Issue.11 , pp. 1840-1853
    • Sikka, D.R.1    Gadgil, S.2
  • 38
    • 77649232909 scopus 로고    scopus 로고
    • SOM+EOF for finding missing values
    • In Proceedings of the European Symposium on Artificial Neural Networks, Belgium, Brugges, 115-120
    • Sorjamaa A, Merlin P. 2007. SOM+EOF for finding missing values. In Proceedings of the European Symposium on Artificial Neural Networks, Belgium, Brugges, 115-120
    • (2007)
    • Sorjamaa, A.1    Merlin, P.2
  • 39
    • 84878107349 scopus 로고    scopus 로고
    • An Indian monsoon intraseasonal oscillations (MISO) index for real time monitoring and forecast verification
    • DOI: 10.1007/s00382-012-1462-5.
    • Suhas E, Neena J, Goswami B. 2012. An Indian monsoon intraseasonal oscillations (MISO) index for real time monitoring and forecast verification. Climate Dynam. 1-12, DOI: 10.1007/s00382-012-1462-5.
    • (2012) Climate Dynam. , vol.1
    • Suhas, E.1    Neena, J.2    Goswami, B.3
  • 40
    • 77749338831 scopus 로고    scopus 로고
    • Visualization of huge climate data with high-speed spherical self-organizing map
    • Tachibana K, Sugimoto N, Shiogama H, Nozawa T. 2009. Visualization of huge climate data with high-speed spherical self-organizing map. Proc. JACIII 13(3): 210-216.
    • (2009) Proc. JACIII , vol.13 , Issue.3 , pp. 210-216
    • Tachibana, K.1    Sugimoto, N.2    Shiogama, H.3    Nozawa, T.4
  • 44
    • 0019704889 scopus 로고
    • Teleconnections in the geopotential height field during the northern hemisphere winter
    • DOI: 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
    • Wallace JM, Gutzler DS. 1981. Teleconnections in the geopotential height field during the northern hemisphere winter. Mon. Weather Rev. 109(4): 784-812, DOI: 10.1175/1520-0493(1981)109<0784:TITGHF>2.0.CO;2.
    • (1981) Mon. Weather Rev. , vol.109 , Issue.4 , pp. 784-812
    • Wallace, J.M.1    Gutzler, D.S.2
  • 45
    • 0020347855 scopus 로고
    • Examples of extended empirical orthogonal function analysis
    • Weare BC, Nasstrom JS. 1982. Examples of extended empirical orthogonal function analysis. Mon. Weather Rev. 110: 481-485.
    • (1982) Mon. Weather Rev. , vol.110 , pp. 481-485
    • Weare, B.C.1    Nasstrom, J.S.2
  • 46
    • 2942673326 scopus 로고    scopus 로고
    • An all-season real-time multivariate MJO index: development of an index for monitoring and prediction
    • Wheeler MC, Hendon HH. 2004. An all-season real-time multivariate MJO index: development of an index for monitoring and prediction. Mon. Weather Rev. 132: 1917-1932.
    • (2004) Mon. Weather Rev. , vol.132 , pp. 1917-1932
    • Wheeler, M.C.1    Hendon, H.H.2
  • 47
    • 0003632941 scopus 로고    scopus 로고
    • 3rd edn. Elsevier/Academic Press: Amsterdam, The Netherlands/Boston, MA.
    • Wilks DS. 2011. Statistical Methods in the Atmospheric Sciences, Vol. 100, 3rd edn. Elsevier/Academic Press: Amsterdam, The Netherlands/Boston, MA.
    • (2011) Statistical Methods in the Atmospheric Sciences , vol.100
    • Wilks, D.S.1
  • 48
    • 84864297252 scopus 로고    scopus 로고
    • Local and global principal component analysis for process monitoring
    • DOI: 10.1016/j.jprocont.2012.06.008.
    • Yu J. 2012. Local and global principal component analysis for process monitoring. J. Process Control 22(7): 1358-1373, DOI: 10.1016/j.jprocont.2012.06.008.
    • (2012) J. Process Control , vol.22 , Issue.7 , pp. 1358-1373
    • Yu, J.1
  • 49
    • 23644435616 scopus 로고    scopus 로고
    • The Madden Julian oscillation
    • Zhang C. 2005. The Madden Julian oscillation. Rev. Geophys. 43: RG2003.
    • (2005) Rev. Geophys. , vol.43
    • Zhang, C.1
  • 50
    • 0034826327 scopus 로고    scopus 로고
    • A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digits recognition
    • DOI: 10.1016/S0031-3203(00)00009-1.
    • Zhang B, Fu M, Yan H. 2001. A nonlinear neural network model of mixture of local principal component analysis: application to handwritten digits recognition. Pattern Recognit. 34(2): 203-214, DOI: 10.1016/S0031-3203(00)00009-1.
    • (2001) Pattern Recognit. , vol.34 , Issue.2 , pp. 203-214
    • Zhang, B.1    Fu, M.2    Yan, H.3


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