K-means clustering of historical Beethoven sonata recordings identifies multiple stable tempo traditions per movement that persist independently over eight decades instead of showing uniform change.
Ward’s Hierarchical Ag- glomerative Clustering Method: Which Algorithms Im- plement Ward’s Criterion?
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Coexisting Tempo Traditions in Beethoven's Piano and Cello Sonatas: A K-means Clustering Analysis of Recorded Performances, 1930-2012
K-means clustering of historical Beethoven sonata recordings identifies multiple stable tempo traditions per movement that persist independently over eight decades instead of showing uniform change.