Symbolic Data Analysis With the K-Means Algorithm for User Profiling

We propose to simplify human-machine interaction by automating device settings that are normally made manually. We present here a classification scheme of user behaviours based on an adaptation of the K-means algorithm to symbolic data representing user behaviours. This classification enables a system to derive prototypical behaviours and to control device settings automatically.