Using Clustering to Personalize Visualization

The goal of our work is to propose models or methods to personalize the visualization of a large amount of weather information in a simple way and to make sure that a user can analyze all needed information. We personalize this visualization for each user according to an automatically detected profile based on clustering. Clustering is used to group users who are similar to current user and then set the visualization variables according to the visualizations of those users.