Analysis of Physiological and Activity Data Specific to Locations Obtained through Geographical Clustering.

This paper presents methods for the investigation and visualization of spatial, physical and physiological data acquired by wearable sensors. Several clustering methods and descriptive statistics are combined. Based on graph theory, an individual network was constructed depending on daily physiological and activity data.