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.