On Clustering Cellists using Acquired Data through Performance Movies Observation

Abstract

By specifying a set of more than ten characteristic attributes related to cello playing such as "right elbow height", "vertical movement of the wrist on bow reverse action" and "the degree of left-right body trunk motion", we collect a set of data from observation of 46 cellists movies on YouTube and conduct clustering and decision tree analyses to identify a set of clusters. As a result, we succeeded in obtaining five clusters which may be useful in finding a cello playing style suited for each player.