AutoGMM: Automatic and Hierarchical Gaussian Mixture Modeling in Python

Background: Gaussian mixture modeling is a fundamental tool in clustering, as well as discriminant analysis and semiparametric density estimation. However, estimating the optimal model for any given number of components is an NP-hard problem, and estimating the number of components is in some respec...

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Bibliographische Detailangaben

Hauptverfasser:	Athey, Thomas L, Liu, Tingshan, Pedigo, Benjamin D, Vogelstein, Joshua T
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Statistics - Machine Learning
Online-Zugang:	Volltext bestellen
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