Title: Visualization of clustering on multiple data
Authors: Mariko Takagishi - Doshisha University (Japan) [presenting]
Hiroshi Yadohisa - Doshisha University (Japan)
Abstract: Visualization of clustering results for multiple data will be considered. We often obtain multiple data for the same items. By applying cluster analysis for each data, we can discover a latent structure in data. However, the relationship of clusters between different data cannot be interpreted if the cluster analysis is applied separately on each data. Therefore, a method to visualize the relationship between clusters obtained from different data is proposed. By using this method, clustering structure on a whole data can be visually understood.