Browse > Article
http://dx.doi.org/10.5351/KJAS.2008.21.3.429

A Study on the Relationship between Skill and Competition Score Factors of KLPGA Players Using Canonical Correlation Biplot and Cluster Analysis  

Choi, Tae-Hoon (Dept. of Physical Education, Andong Science College)
Choi, Yong-Seok (Dept. of Statistics, Pusan National University)
Publication Information
The Korean Journal of Applied Statistics / v.21, no.3, 2008 , pp. 429-439 More about this Journal
Abstract
Canonical correlation biplot is 2-dimensional plot for investigating the relationship between two sets of variables and the relationship between observations and variables in canonical correlation analysis graphically. In general, biplot is useful for giving a graphical description of the data. However, this general biplot and also canonical correlation biplot do not give some concise interpretations between variables and observations when the number of observations are large. Recently, for overcoming this problem, Choi and Kim (2008) suggested a method to interpret the biplot analysis by applying the K-means clustering analysis. Therefore, in this study, we will apply their method for investigating the relationship between skill and competition score factors of KLPGA players using canonical correlation biplot and cluster analysis.
Keywords
Canonical correlation analysis; biplot; KLPGA; K-means cluster analysis;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 최용석, 현기홍, 정수미 (2005b). MANCOVA Biplot, <한국통계학논문집 >, 12, 705-712   과학기술학회마을   DOI
2 Choi, Y. S. and Kim, H. Y. (2008). Applications of cluster analysis in biplots, Communications of the Korean Statistical Society, 15, 65-76.   과학기술학회마을   DOI   ScienceOn
3 Gabriel, K. R. (1971). The biplot graphics display of matrices with applications to principal component analysis, Biometrika, 58, 453-467.   DOI   ScienceOn
4 Hotelling, H. (1935). The most predictable criterion, Journal of Educational Psychology, 26, 139-142.   DOI
5 최태훈 (2006). KLPGA 선수의 기술요인과 랭킹간의 관계,<얀동과학대학 논문집>,28, 431-439
6 허명회 (1993). <통계상담의 이해>, 자유아카데미, 서울
7 APGA (1996). Offcial Media Guide of the PGA TOUR, American Professional Golf Association
8 Choi, Y. S. (1991). Resistant Principal Component Analysis, Biplot and Correspondence Analysis, Unpublished Ph.D. Dissertation, Department of Statistics, Korea University.
9 Choi, Y. S., Hyun, G. H. and Kim, J. G. (2005a). A numerical comparison of map variability in SCA using the procrustes analysis, Journal of the Korean Data Analysis Society, 7, 1531-1538
10 서은영, 박태섭 (2003) . 여자프로골프선수의 경기력에 미치는 결정요인분석, <한국기록분석 학회지>, 1, 27-38
11 최용석 (2006). <행렬도 분석>, 기초과학 총서 2권, 부산대학교 기초과학연구원.
12 최용석, 현기홍, 정수미 (2005a). 다변량 분산분석에서 추정된 모수행렬의 행렬도, Journal of the Korean Data Analysis Society, 7, 851-858
13 최용석, 강창완, 김경덕 (2005c) . 명목형 다항반응 로지스틱회귀모형의 행렬도 분석, Journal of the Korean Data Analysis Society, 7, 839-849
14 Park, M. and Huh, M. H. (1996a). Canonical correlation biplot, The Korea Communications in Statistics, 3, 11-19
15 Park, M. and Huh, M. H. (1996b). Quantification plots for several sets of variables, Journal of the Korea Statistical Society, 25, 589-601.   과학기술학회마을
16 Sharma, S. (1996). Applied Multivariate Techniques, Wiley, New York
17 Choi, Y. S., Hyun, G. H. and Yun, W. J. (2005b). Biplots' variability based on the procrustes analysis, Journal of the Korean Data Analysis Society, 7, 1925-1933
18 Park, M. (1995). Quantification Plots for Canonical Correlation Analysis, Unpublished Ph.D. Dissertation, Department of Statistics, Korea University.