메뉴 건너뛰기




Volumn 66, Issue 4, 2012, Pages 403-421

Hierarchical clustering of spatially correlated functional data

Author keywords

Basis functions; Dissimilarity; Functional clustering; Geostatistics; Multivariable variogram; Trace variogram

Indexed keywords


EID: 84867402942     PISSN: 00390402     EISSN: 14679574     Source Type: Journal    
DOI: 10.1111/j.1467-9574.2012.00522.x     Document Type: Article
Times cited : (64)

References (35)
  • 2
    • 0034092755 scopus 로고    scopus 로고
    • Geostatistical classification for remote sensing: an introduction
    • Atkinson, P. and P. Lewis (2000), Geostatistical classification for remote sensing: an introduction, Computers & Geosciences 26, 361-371.
    • (2000) Computers & Geosciences , vol.26 , pp. 361-371
    • Atkinson, P.1    Lewis, P.2
  • 3
    • 0026277944 scopus 로고
    • The multivariable variogram and its application to the linear coregionalization model
    • Borgault, G. and D. Marcotte (1991), The multivariable variogram and its application to the linear coregionalization model, Mathematical Geology 23, 899-928.
    • (1991) Mathematical Geology , vol.23 , pp. 899-928
    • Borgault, G.1    Marcotte, D.2
  • 4
    • 0026482068 scopus 로고
    • The multivariable covariogram as a spatial weighting function in classification methods
    • Borgault, G., D. Marcotte and P. Legendre (1992), The multivariable covariogram as a spatial weighting function in classification methods, Mathematical Geology 24, 463-478.
    • (1992) Mathematical Geology , vol.24 , pp. 463-478
    • Borgault, G.1    Marcotte, D.2    Legendre, P.3
  • 6
    • 34547837451 scopus 로고    scopus 로고
    • Functional clustering and identifying substructures of longitudinal data
    • Chiou, J. and P. Li (2007), Functional clustering and identifying substructures of longitudinal data, Journal Royal Statistical Society, Series B 69, 679-699.
    • (2007) Journal Royal Statistical Society, Series B , vol.69 , pp. 679-699
    • Chiou, J.1    Li, P.2
  • 12
    • 78651307143 scopus 로고    scopus 로고
    • Statistical methods and problems in infinite-dimensional spaces
    • Ferraty, F. (2010), Statistical methods and problems in infinite-dimensional spaces, Journal of Multivariate Analysis 101, 305-490.
    • (2010) Journal of Multivariate Analysis , vol.101 , pp. 305-490
    • Ferraty, F.1
  • 20
    • 31344479581 scopus 로고    scopus 로고
    • Exploring between site in water quality trends: a functional data analysis approach
    • Henderson, B. (2006), Exploring between site in water quality trends: a functional data analysis approach, Environmetrics 17, 65-80.
    • (2006) Environmetrics , vol.17 , pp. 65-80
    • Henderson, B.1
  • 23
    • 78649885808 scopus 로고    scopus 로고
    • Applying Bayesian Networks for Meteorological Data Mining
    • The 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Cambridge 2005 Berlin: Springer-Verlag.
    • Hruschka Jr., E.R., E.R. Hruschka and N.F.F. Ebecken (2005), Applying Bayesian Networks for Meteorological Data Mining, In: Applications and Innovations in Intelligent Systems XIII The 25th SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence Cambridge 2005 122-133, Berlin: Springer-Verlag.
    • (2005) Applications and Innovations in Intelligent Systems XIII , pp. 122-133
    • Hruschka Jr., E.R.1    Hruschka, E.R.2    Ebecken, N.F.F.3
  • 26
    • 58549098884 scopus 로고    scopus 로고
    • Simultaneous curve registration and clustering for functional data
    • Liu, X. and M. Yang (2009), Simultaneous curve registration and clustering for functional data, Computational Statistics and Data Analysis 53, 1361-1376.
    • (2009) Computational Statistics and Data Analysis , vol.53 , pp. 1361-1376
    • Liu, X.1    Yang, M.2
  • 27
    • 49549108208 scopus 로고    scopus 로고
    • Penalized clustering of large-scale functional data with multiple covariates
    • Ma, P. and W. Zhong (2008), Penalized clustering of large-scale functional data with multiple covariates, Journal of American Statistical Association 103, 625-636.
    • (2008) Journal of American Statistical Association , vol.103 , pp. 625-636
    • Ma, P.1    Zhong, W.2
  • 28
    • 34250115918 scopus 로고
    • An examination of procedures of determining the number of clusters in a data set
    • Milligan, G. and M. Cooper (1985), An examination of procedures of determining the number of clusters in a data set, Psychometrika 50, 159-179.
    • (1985) Psychometrika , vol.50 , pp. 159-179
    • Milligan, G.1    Cooper, M.2
  • 29
    • 0005852342 scopus 로고
    • A geostatistical basis for spatial weighting in multivariate classification
    • Oliver, M. and R. Webster (1989), A geostatistical basis for spatial weighting in multivariate classification, Mathematical Geology 21, 15-35.
    • (1989) Mathematical Geology , vol.21 , pp. 15-35
    • Oliver, M.1    Webster, R.2
  • 32
    • 34247171227 scopus 로고    scopus 로고
    • Crisp and fuzzy k-means clustering algorithms for multivariate functional data
    • Tokushige, S., H. Yadohisa and K. Inada (2007), Crisp and fuzzy k-means clustering algorithms for multivariate functional data, Computational Statistics 22, 1-16.
    • (2007) Computational Statistics , vol.22 , pp. 1-16
    • Tokushige, S.1    Yadohisa, H.2    Inada, K.3
  • 33
    • 36048956916 scopus 로고    scopus 로고
    • An overview to modelling functional data
    • Valderrama, M. (2007), An overview to modelling functional data, Computational Statistics 22, 331-334.
    • (2007) Computational Statistics , vol.22 , pp. 331-334
    • Valderrama, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.