Application of clustering in statistical analysis of music data
Articles
Mindaugas Kavaliauskas
Kauno technologijos universitetas
Published 2012-12-25
https://doi.org/10.15388/LMR.B.2012.15
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Keywords

musicology
clustering
Markov chain

How to Cite

Kavaliauskas M. (2012) “Application of clustering in statistical analysis of music data”, Lietuvos matematikos rinkinys, 53(B), pp. 78–83. doi: 10.15388/LMR.B.2012.15.

Abstract

In this article author analyses musical works of Lithuanian compositors using statistical methods. Markov chains are used to describe compositions. Stationary distributions are used as feature vectors for clustering. A few interpretations of clusters are presented. Possibility to use feature vectors to identify the unknown author of composition is tested.

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