2025
JMLR
JMLR 2025
An Axiomatic Definition of Hierarchical Clustering
Abstract
In this paper, we take an axiomatic approach to defining a population hierarchical clustering for piecewise constant densities, and in a similar manner to Lebesgue integration, extend this definition to more general densities. When the density satisfies some mild conditions, e.g., when it has connected support, is continuous, and vanishes only at infinity, or when the connected components of the density satisfy these conditions, our axiomatic definition results in Hartigan's definition of cluster tree. [abs] [ pdf ][ bib ] © JMLR 2025. (edit, beta)
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Keyword Pioneer
— piecewise constant density
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Cross-Pollinator
— Artificial Intelligence, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing
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Interdisciplinary Bridge
— Data Science & Analytics and Machine Learning