Advanced SearchSearch Tips
Visualizing Large Two-way Crosstabs by PLS Method
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Visualizing Large Two-way Crosstabs by PLS Method
Lee, Yong-Goo; Choi, Youn-Im;
  PDF(new window)
On the visualization of categorical data, if the number of categories is small, we can consider Hayashi Quantification Method 3 for visualization of the categories of the variables. But it is known that the method is unstable because it quantifies more significantly for the small frequency categories rather than large frequency categories. The purpose of this research is to propose the visualization of large two-way crosstabulation data by PLS methods for checking the relationship between the categories of row and column variables. In this research, we utilize the PLS visualization methods (Huh et al., 2007) that is proposed for visualization of the qualitative data to visualize the categories of the large categorical data. We also compared both methods by applying them to real data, and studied the results from PLS visualization method on the real categorized data with many categories.
Hayashi Quantification III;PLS Quantification;large two-way cross-tabs;
 Cited by
김종덕 (2004). 고유벡터 기저를 이용한 회귀방법의 비교, <한국자료분석학회지>, 6, 205-218

박성현, 최엄문, 박창순 (1999). 편최소제곱 반응표면함수를 이용한 공정 최적화에 관한 연구, <품질경영학회지>, 27, 237-250

전치혁, 이혜선, 이대원, 장창환 (2006). X-선 회절 데이터에 PLS 기법을 이용한 철광석의 환원율 예측, <한국통계학회 2006년 춘계학술발표회 논문집>, 30

허명회 (1998). <수량화 방법 Ⅰ, Ⅱ, Ⅲ, Ⅳ>, 자유아카데미, 서울

허명회 (1999). <다변량 수량화>, 자유아카데미, 서울

허명회, 이용구 (2006). 수량화 제3방법의 축소 해, <응용통계연구>, 19, 331-338

허명회, 이용구, 이성근 (2007). PLS 기법에 의한 (X, Y)자료의 시각화, <응용통계연구>, 20, 345-355

岩坪秀一 (1987). <數量化法の 基礎>, 朝倉書店, 동경

駒澤勉 (1992). <數量化理論>, 放送大學敎育振興會, 동경

Helland, I. (2006). Partial least squares recression, The Encyclopedia of Statistical Sciences, 2nd ed.(edited by Kotz), 5997-5962

Kim, J. D. (2001). A general weighting scheme of partial least squares regression, Journal of the Korean Data Analysis Society, 3, 11-21

Kim, J. D. (2003a). Alternative expressions of regression vector for principal component regression and partial least squares regression, Journal of the Korean Data Analysis Society, 5, 17-26

Kim, J. D. (2003b). Projection matrices for partial least squares regression and principal component re-gression, Journal of the Korean Data Analysis Society, 5, 787-800

Kim, J. D. (2003c). Unified non-iterative algorithm for principal component regression, partial least squares and ordinary least squares, Journal of the Korean Data and Information Science Society, 14, 355-366

Rosipal, R. and Kramer, N. (2006). Overview and recent advances in partial least squares, Lecture Notes in Computer Science, 3940, 34-51, Springer-Verlag