Journal of Shandong University(Engineering Science) ›› 2022, Vol. 52 ›› Issue (1): 19-27.doi: 10.6040/j.issn.1672-3961.0.2021.301

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Split transfer hierarchical clustering algorithm for functional data

MENG Yinfeng1, YANG Jiayu1, CAO Fuyuan2   

  1. 1. School of Mathematical Sciences, Shanxi University, Taiyuan 030006, Shanxi, China;
    2. School of Computer and Information Technology, Shanxi University, Taiyuan 030006, Shanxi, China
  • Published:2022-02-21

CLC Number: 

  • TP181
[1] WARD J H. Hierarchical groupings to optimize an objective function[J]. Journal of the American Statistical Association, 1963, 58: 236-244.
[2] BALL G H, HALL D J. A clustering technique for summarizing multivariate data[J]. Behavioral Science, 1967, 12: 153-155.
[3] ABRAHAM C, CORNILLON P A, MATZNER-LØBER E, et al. Unsupervised curve clustering using B-splines[J]. Scandinavian Journal of Statistics, 2003, 30: 581-595.
[4] ANTONIADIS A, BROSSAT X, CUGLIARI J, et al. Clustering functional data using wavelets[J]. International Journal of Wavelets, Multiresolution and Information Processing, 2013, 11(1): 1350003-1350030.
[5] JAMES G, SUGAR C. Clustering for sparsely sampled functional data[J]. Journal of the American Statistical Association, 2003, 98: 397-408.
[6] GIACOFCI M, LAMBERT L S, MAROT G, et al. Wavelet-based clustering for mixed-effects functional models in high dimension[J]. Biometrics, 2013, 69: 31-40.
[7] FRANCESCA I, ANNA M P, DAVIDE P, et al. Multivariate functional clustering for the morphological analysis of electrocardiograph curves[J]. Journal of the Royal Statistical Society: Series C(Applied Statistics), 2013, 62(3): 401-418.
[8] CHIOU J M, LI P L. Functional clustering and identifying substructures of longitudinal data[J]. Journal of the Royal Statistical Society Series B, 2007, 69: 679-699.
[9] LIM Y, OH H S, CHEUNG Y K. Multiscale clustering for functional data[J]. Journal of Classification, 2019, 36: 368-391.
[10] BENSMAIL H, ARUNA B, SEMMES O J, et al. Functional clustering algorithm for high-dimensional proteomics data[J]. Journal of Biomedicine and Biotechnology, 2005, 2: 80-86.
[11] MORRIS J S, BROWN P J, COOMBES K R. Statistical contributions to proteomic research[J]. Methods in Molecular Biology, 2010, 641: 143-166.
[12] 孟银凤,梁吉业.线性正则化函数Logistic模型[J].计算机研究与发展,2020, 57(8): 1617-1626. MENG Yinfeng, LIANG Jiye. Linear regularized functional logistic model[J]. Journal of Computer Research and Development, 2020, 57(8): 1617-1626.
[13] MENG Yinfeng, LIANG Jiye, QIAN Yuhua. Comparison study of orthonormal representations of functional data in classification[J]. Knowledge-Based Systems, 2016, 97: 224-236.
[14] RAMSAY J O, SILVERMAN B W. Functional data analysis [M]. Berlin, Germany: Springer, 2005.
[15] HUBERT L, ARABIE P. Comparing partitions[J]. Journal of Classification, 1985, 2: 193-218.
[16] RAY S, MALLICK B. Functional clustering by Bayesian wavelet methods[J]. Journal of the Royal Statistical Society(Series B), 2006, 68: 305-332.
[17] CATTELL R B. The scree test for the number of factors[J]. Multivariate Behavioral Research, 1966, 1(2): 245-276.
[18] HASTIE T, BUJA A, TIBSHIRANI R. Penalized discriminant analysis[J]. The Annals of Statistics, 1995, 23(1): 73-102.
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