Biplots Variability based on the Procrustes Analysis

• 발행기관: 한국자료분석학회
• 저자명: 최용석(Yong-Seok Choi) 현기홍(Gee Hong Hyun) 윤우정(Woo Jung Yun)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.7 No.6, 1925~1933쪽, 전체 9쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2005.12.30

영문 초록

Multivariate analyses offer graphic representation for variables or objects in a reduced space(2-dimension) so that we can easily visualize their relationship. Since one can obtain the configurations of various form by algebraic algorithms, there exits a variability among configurations. The Procrustes analysis has been used mostly in multidimensional scaling. In this study, we applied the Procrustes analysis to biplots. As a result, if two plots showed differently, then the value of the Procrustes statistic was large. On the other hand, when two plots are similar, the Procrustes statistic was small. When the Procrustes statistic of two configurations is near to zero, we can consider two configurations are more similar. Thus, we can judge which configurations are very similar than other. we will demonstrate biplots variability for comparing configurations of biplots.

목차

1. Introduction

2. Procrustes Analysis

3 Biplots Varibility

4. Conclusion

References

키워드

Biplot Procrustes Analysis Variability SVD