MULTIDIMENSIONAL-SCALING ON A SPHERE

被引：44

作者：

COX, TF

COX, MAA

机构：

[1] UNIV NEWCASTLE UPON TYNE,DEPT MATH & STAT,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND

[2] UNIV NEWCASTLE UPON TYNE,DEPT ENGN MATH,NEWCASTLE TYNE NE1 7RU,TYNE & WEAR,ENGLAND

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 1991年 / 20卷 / 09期

关键词：

DISSIMILARITY; MULTIDIMENSIONAL SCALING; SPHERICAL DATA;

D O I：

10.1080/03610929108830679

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：

Nonmetric multidimensional scaling (MDS) is adapted to give configurations of points that lie on the surface of a sphere. There are data sets where it can be argued that spherical MDS is more relevant than the usual planar MDS. The theory behind the adaption of planar MDS to spherical MDS is outlined and then its use is illustrated on three data sets.

引用

页码：2943 / 2953

页数：11

共 12 条

[1] RESTRICTED MULTIDIMENSIONAL-SCALING MODELS [J].