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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