Abstract
Automatic classification of music genres is an important task for analyzing music data. One of the reasons that makes this task hard is the absence of precise definition about each genre. As a consequence, several taxonomies are adopted in different applications. In this work, we will assess the use of constrained clustering to identify clusters of musics. Such approach will make it possi…