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http://dx.doi.org/10.5762/KAIS.2010.11.6.2054

On an optimum positioning of multivariate data using an orthogonal rotation technique  

Yoo, Hee-Kyung (Dept. of Computer Engineering, Kangwon National University)
Choi, Shin-Hyeong (Dept. of Control & Instrumentation Engineering, Kangwon National University)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.11, no.6, 2010 , pp. 2054-2061 More about this Journal
Abstract
This paper suggests an algorithm for optimal positioning individuals(or observations) with p-dimensional measurements into coordinates of a two dimensional space. A criterion for optimizing the rotation is taken as the consistency of the grouping result obtained by the cluster analysis. This paper introduces the criterion and a transformation matrix for the orthogonal rotation. The criterion of the optimal positioning is that standard groups are placed in each quadrant of the positioning. An optimal angle of the orthogonal rotation is investigated and found by this criterions.
Keywords
Positioning; Cluster analysis; Principal component analysis; Multidimensional scaling;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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