Visualizing singular value decomposition

被引：2

作者：

Zhang, Lingsong ^{[1
]}

Wang, Yao ^{[1
]}

机构：

[1] Purdue Univ, Dept Stat, W Lafayette, IN 47907 USA

来源：

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS | 2014年 / 6卷 / 03期

关键词：

biplot; functional data; principal component analysis; statistical graphics; singular value decomposition;

D O I：

10.1002/wics.1295

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：

Singular value decomposition/principal component analysis method is a central tool in multivariate analysis and functional data analysis. In this article, a list of visualization tools that are useful in revealing structure within sample datasets is investigated. An Internet traffic dataset is used to illustrate the usefulness of these methods. (C) 2014 Wiley Periodicals, Inc.

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收藏

页码：197 / 201

页数：5

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