Classification and Mixture Approaches to Clustering via Maximum Likelihood

DOI10.2307/2347733zbMath0707.62121OpenAlexW2294098965MaRDI QIDQ3489154

S. Ganesalingam

Publication date: 1989

Published in: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/2347733

zbMATH Keywords

classificationmaximum likelihood estimatesnormal distributionslinear discriminant functionsimulation comparisonclustering approachesmixture and separate sampling

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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