Behavioral analysis (BA) on ubiquitous sensor data is the task of finding the latent distribution of features for modeling user-specific characteristics. These characteristics, in turn, can be used for a number of tasks including resource management, power efficiency, and smart home applications.

In this work I propose a novel clustering technique for BA which can find hidden routines in ubiquitous data and also captures the pattern in the routines.