Classification and Comparison of Different Folk Music Traditions Using Self Learning Algorithms
Proceedings of Bridges 2010: Mathematics, Music, Art, Architecture, Culture
Pages 487–490
Short Papers
Abstract
The results of a comparative analysis of 25 folk song databases are summarized in this paper. The method of the analysis was based on self organizing mapping and multidimensional scaling algorithms. The results show a clear system of deterministic contacts of the cultures. De concrete common musical forms of different cultures can also be studied.