Applying Constrained Clustering for Active Exploration of Music Collections

@inproceedings{Mercado2010ApplyingCC,
  title={Applying Constrained Clustering for Active Exploration of Music Collections},
  author={Pedro Mercado},
  year={2010}
}
In this paper we investigate the capabilities of constrained clustering in application to active exploration of music collections. Constrained clustering has been developed to improve clustering methods through pairwise constraints. Although these constraints are received as queries from a noiseless oracle, most of the methods involve a random procedure stage to decide which elements are presented to the oracle. In this work we apply spectral clustering with constraints to a music dataset… CONTINUE READING