A Numerical Comparison of Map Variability in SCA Using the Procrustes Analysis

• 발행기관: 한국자료분석학회
• 저자명: 최용석(Yong-Seok Choi) 현기홍(Gee Hong Hyun) 김종건(Jong-Geon Kim)
• 간행물 정보: 『Journal of The Korean Data Analysis Society (JKDAS)』Vol.7 No.5, 1531~1538쪽, 전체 8쪽
• 주제분류: 자연과학 > 통계학
• 파일형태: PDF
• 발행일자: 2005.10.30

영문 초록

Multivariate analysis offer graphic representation for variables of objects in reduced space(2-dimension) because we can know easily their relation. We can obtain the configurations of various form by algebraic algorithms and it often occurs the variability among configurations. Therefore to compare the variability, we applied Procrustes analysis which has been applied mostly to only multidimensional scaling(MDS) to simple correspondence analysis(SCA). In fact, when two maps in SCA are similar nearly, the value of the Procrustes statistic of two maps was small. And so we can represent more objectively the similarity of two configurations showed with the naked eye through the numerical comparison of those using the Procrustes analysis.

목차

1. Introduction

2. Procrustes Analysis

3. Application in Simple Correspondence Analysis

4. Conclusion

References

키워드

Configuration Multivariate Analysis Procrustes Analysis Simple Correspondence Analysis Singular Value Decomposition