Similarity based hierarchical clustering of physiological parameters for the identification of health states - a feasibility study

Fabian Schrumpf, Gerold Bausch, Matthias Sturm +1

This paper introduces a new unsupervised method for the clustering of physiological data into health states based on their similarity. We propose an iterative hierarchical clusteri…