Algorithmic Clustering of Music

Details Algorithmic Clustering of Music Algorithmic Clustering of Music

2003-03-24

arxiv.org/abs/cs/0303025v1

Computer Science

Sound

17 pages, 11 figures

Scientific paper

We present a fully automatic method for music classification, based only on compression of strings that represent the music pieces. The method uses no background knowledge about music whatsoever: it is completely general and can, without change, be used in different areas like linguistic classification and genomics. It is based on an ideal theory of the information content in individual objects (Kolmogorov complexity), information distance, and a universal similarity metric. Experiments show that the method distinguishes reasonably well between various musical genres and can even cluster pieces by composer.

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