Clustering-based genre prediction on music data
Chris Sanden, Chad R. Befus, John Z. Zhang · 2008
In this work, we study the problem of genre prediction on music data. The prediction is based on a genre map, which is constructed from clustering training music data. We make use of a novel algorithm which captures the structural distances from music data and achieves a high clustering accuracy. Preliminary experiments are conducted and discussed.