Title :
A Visualization Technique to Support Searching and Comparing Features of Multivariate Datasets
Author :
Hiroaki Kobayashi;Hiroko Suzuki;Kazuo Misue
Author_Institution :
Dept. of Comput. Sci., Univ. of Tsukuba, Tsukuba, Japan
fDate :
7/1/2015 12:00:00 AM
Abstract :
In exploratory analysis of multivariate datasets, performing an analytical task is often necessary. Such tasks may include extracting characteristic subsets and comparing them. Therefore, we support searching and comparing features of multivariate datasets. We developed Blade Graph, which is a visualization technique for comparing distributions by emphasizing coloring according to the size of the difference. In addition, we developed a visual analysis tool with representations for comparing data distributions. In a case study of our analysis tool, we analyzed collective tendencies from a social media dataset.
Keywords :
"Blades","Data visualization","Image color analysis","Blogs","Visualization","Media","Principal component analysis"
Conference_Titel :
Information Visualisation (iV), 2015 19th International Conference on