Identifying the number of components in Gaussian mixture models using numerical algebraic geometry

DOI10.1142/S0219498820502047zbMath1453.62553OpenAlexW2974781388WikidataQ114614542 ScholiaQ114614542MaRDI QIDQ5133853

Elizabeth Gross, S. Shirinkam, Adel Alaeddini

Publication date: 11 November 2020

Published in: Journal of Algebra and Its Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0219498820502047

zbMATH Keywords

smoothing splinemodel-based clusteringmixture modelsnumerical algebraic geometry

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Statistical aspects of information-theoretic topics (62B10) Statistical aspects of big data and data science (62R07) Numerical algebraic geometry (65H14)

Related Items (1)

Unimodal category and the monotonicity conjecture

Uses Software

• HOM4PS
• Macaulay2
• PHCpack
• Bertini
• alphaCertified

Cites Work

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