Orthonormality-constrained INDSCAL with nonnegative saliences

被引：0
作者：
Trendafilov, NT [1 ]
机构：
[1] Univ W England, Fac Comp Engn & Math Sci, Bristol BS16 1QY, Avon, England
来源：
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2004, PT 2 | 2004年 / 3044卷
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
INDSCAL is a specific model for simultaneous metric multidimensional scaling (MDS) of several data matrices. In the present work the INDSCAL problem is reformulated and studied as a dynamical system on the product manifold of orthonormal and diagonal matrices. The problem for fitting of the INDSCAL model to the data is solved. The resulting algorithms are globally convergent. Numerical examples illustrate their application.
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页码：952 / 960
页数：9
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