Functional clustering of longitudinal data

被引：6

作者：

Chiou, Jeng-Min ^{[1
]}

Li, Pai-Ling ^{[2
]}

机构：

[1] Acad Sinica, Inst Stat Sci, Taipei 11529, Taiwan

[2] Tamkang Univ, Dept Stat, New Taipei 25137, Taiwan

来源：

FUNCTIONAL AND OPERATORIAL STATISTICS | 2008年

关键词：

D O I：

10.1007/978-3-7908-2062-1_17

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

This study considers two clustering criteria to achieve different goals of grouping similar curves. These criteria are based on the minimal L-2 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.

引用

页码：103 / +

页数：2

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