MULTIDIMENSIONAL-SCALING WITH CONSTRAINTS ON THE CONFIGURATION

被引：6

作者：

MATHAR, R

机构：

[1] Technical University, Aachen

来源：

JOURNAL OF MULTIVARIATE ANALYSIS | 1990年 / 33卷 / 02期

关键词：

Euclidian distance matrix; gauge; majorization; orthogonal invariant norm;

D O I：

10.1016/0047-259X(90)90043-H

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：

In this paper we determine a configuration in a constrained set such that the corresponding distance matrix is closest to a given (not necessarily Euclidean) one. We admit a wide class of appropriate matrix norms as measures of closeness. Majorization inequalities serve as basic tools. © 1990.

引用

页码：151 / 156

页数：6

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