A global algorithm to estimate the expectations of the components of an observed univariate mixture

DOI10.1007/s11634-007-0014-zzbMath1183.62108OpenAlexW2125200135MaRDI QIDQ1042627

Luc Fety, Nicolas Paul, Michel Terre

Publication date: 14 December 2009

Published in: Advances in Data Analysis and Classification. ADAC (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11634-007-0014-z

zbMATH Keywords

unsupervised classificationcomponent expectations estimation

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• AS 136

Cites Work

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• Algorithm AS 136: A K-Means Clustering Algorithm
• Measuring the relative effectiveness of moment estimators as starting values in maximizing likelihoods
• Stability analysis of a general Toeplitz system solver
• On Grouping for Maximum Homogeneity
• General polynomial roots and their multiplicities inO(N)memory andO(N²)Time^∗
• Finite mixture models
• On Estimation of a Probability Density Function and Mode

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