Abstract
Local structures, namely characteristic motifs, or prominent, nonliterally repeated patterns, play an important role in folk music. This paper uses Principal Component Analysis (PCA) to better understand characteristics of musical patterns and to further use this information for designing and evaluating future pattern discovery algorithms. We show what features can
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