Sakyo & Ukyo: A technique for visualization of large-scale table data

Abstract

Clustered table or matrix data is often very important in various computer science fields. Many of recently reported vsiualization techniques for the table data convert them into hierarchical or graph data. This paper presents ”Sakyo & Ukyo”, a visualization technique for table or matrix data, applying a hierarchical data visualization technique ”HeiankyoView”. The technique first applies clustering for rows and columns of table data independently, and constructs two hierarchical data from the clustering results. It then independently applies ”HeiankyoView” to the two hierarchical data. It realizes a new visualization schema by providing a mechanism to interact the two hierarchical data each other. We have applied ”Sakyo & Ukyo” to the visualization of table data constructed from the corpus of newspaper articles. This paper introduces that we discovered intersting clusters of keywords and documents