Yust, JasonLee, JaeseongPinsky, Eugene2023-08-112023-08-112022-10-13J. Yust, J. Lee, E. Pinsky. 2022. "A Clustering-Based Approach to Automatic Harmonic Analysis: An Exploratory Study of Harmony and Form in Mozart’s Piano Sonatas" Transactions of the International Society for Music Information Retrieval, Volume 5, Issue 1, pp.113-128. https://doi.org/10.5334/tismir.1142514-3298https://hdl.handle.net/2144/46541We implement a novel approach to automatic harmonic analysis using a clustering method on pitch-class vectors (chroma vectors). The advantage of this method is its lack of top-down assumptions, allowing us to objectively validate the basic music theory premise of a chord lexicon consisting of triads and seventh chords, which is presumed by most research in automatic harmonic analysis. We use the discrete Fourier transform and hierarchical clustering to analyse features of the clustering solutions and illustrate associations between the features and the distribution of clusters over sections of the sonata forms. We also analyse the transition matrix, recovering elements of harmonic function theory.p. 113-128en© 2022 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/http://creativecommons.org/licenses/by/4.0/Harmonic functionClusteringMozartHarmonic spacesSonata formKeysArticle2023-02-1110.5334/tismir.1140000-0001-5978-1153 (Yust, Jason)0000-0003-2490-2095 (Lee, Jaeseong)0000-0002-3836-1851 (Pinsky, Eugene)777621