Clustering Applied to the Acoustic Source Localization

This paper is concerned with a numerical scheme to the inverse source problem, called clustering. It is based on the theory of parallel optimization, and clusters several elements distributed in the area in concern by one point in time data, without prescribing the number of sources. Application to the acoustic source localization is discussed.