Higher Order Quantification Method for PLS Correlation

• 발행기관: 한국상품학회
• 저자명: Yi Seong Keun Byun Gyung Hee
• 간행물 정보: 『상품학연구』제29권 제3호, 143~149쪽, 전체 7쪽
• 주제분류: 경제경영 > 경제학
• 파일형태: PDF
• 발행일자: 2011.05.30

영문 초록

We suggested useful quantification algorithm for understanding the structure of the variables when there are so many sets of variables. When there are so many sets of variables, quantification for each sets of variables can be very meaningless because it is very complicated. Thus, we suggested higher order quantification for the PLS method when there are many sets of variables. As shown, the advantage of higher order quantification is to visualize all the variables in many sets on the same space. It helps us to understand the structure ofmany sets of variables.

목차

Ⅰ. Backgrounds and Purposes

Ⅱ. Concept of Higher Order Quantification for PLS Correlation

Ⅲ. Algorithm

Ⅳ. Numerical Example

Ⅴ. Summary & Discussions

References

키워드

quantification higher order quantification concensus principal component analysis hierarchical principal component analysis