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    题名: Functional Clustering of Longitudinal Data
    作者: Chiou, Jeng-min;Li, Pai-ling
    贡献者: 淡江大學統計學系
    日期: 2008
    上传时间: 2009-11-30 13:17:37 (UTC+8)
    出版者: Heidelberg: Physica-Verlag
    摘要: This study considers two clustering criteria to achieve difierent goals of grouping similar curves. These criteria are based on the minimal L2 distance and the maximal functional correlation defined in this study, respectively. Each cluster centers on a subspace spanned by the cluster mean and covariance eigenfunctions of the underlying random functions. Clusters can thus be identified by the subspace projection of curves.
    關聯: Functional and Operatorial Statistics, pp.103-107
    DOI: 10.1007/978-3-7908-2062-1_17
    显示于类别:[統計學系暨研究所] 專書之單篇

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