Title :
The application of V-system in visualization of multidimensional data
Author :
Song, Ruixia ; Zhao, Zhaoxia ; Wang, Xiaochun
Author_Institution :
Coll. of Sci., North China Univ. of Technol., Beijing, China
Abstract :
Chernoff face is a technique of multidimensional data visualization in multivariate statistics. This paper proposes a new method to quantify the overall features of Chernoff faces, and presents a new programmed method for clustering Chernoff faces. Using this method misjudgment caused by human eyes can be avoided. Moreover, people can further evaluate the samples if the evaluation standard is given. The results of the experimental tests indicate that this method is effective and useful.
Keywords :
data visualisation; face recognition; pattern clustering; statistical analysis; Chernoff face clustering; Chernoff face technique; V-system; multidimensional data visualization; multivariate statistics; Data visualization; Educational institutions; Eyes; Face; Forestry; Humans; Multidimensional systems; Space technology; Statistics; Testing; Chernoff faces; Clustering; Data visualization; V-system;
Conference_Titel :
Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-3699-6
Electronic_ISBN :
978-1-4244-3701-6
DOI :
10.1109/CADCG.2009.5246911
