Developments in measurement science have enhanced the quality of measurement procedures, improving their efficiency and increasing their accuracy [1]. The implementation of intelligent and adaptive distributed systems using the Internet of Things (IoT) has recently seen a rapid increase. The synergy of these developments requires an extensive use of sensing systems that can measure, analyze and provide accurate results in real-time [2]. However, an increase in the number of sensors leads to challenges such as a necessity for complex processing strategies to handle multivariate data [3]. It also provides opportunities for analyzing multivariate, sensor-generated data to infer contextual knowledge that can be useful in decision making. Multivariate context information can offset the ambiguities that arise when single sensor data are used for inference and can uncover relationships previously unknown or difficult to confirm through conventional approaches [4].