Abstract
Data in music are complex and highly structured. In this talk a number of descriptive and model-based methods are discussed that can be used as pre-processing devices before standard methods of classification, clustering etc. can be applied. The purpose of pre-processing is to incorporate prior knowledge in musicology and hence to filter out information that is relevant from the point of view of music theory. This is illustrated by a number of examples from classical music, including the analysis of scores and of musical performance.
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© 2005 Springer-Verlag Berlin · Heidelberg
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Beran, J. (2005). Classification and Data Mining in Musicology. In: Weihs, C., Gaul, W. (eds) Classification — the Ubiquitous Challenge. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-28084-7_1
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DOI: https://doi.org/10.1007/3-540-28084-7_1
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