Metodbevispost

Mixture Modeling

Mixture modeling assumes that a population is composed of K unobserved subpopulations, each described by its own probability distribution. The observed data are treated as draws from a weighted combination of these component distributions. It provides a principled, model-based alternative to ad hoc clustering and supports formal comparison of solutions with different numbers of components.

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Finite Mixture Modeling

Taxonomisk metodpost · latent-structure / statistics

McLachlan, G. J. & Peel, D. (2000). Finite Mixture Models. Wiley-Interscience. · ISBN 978-0471006268
Fraley, C. & Raftery, A. E. (2002). Model-based clustering, discriminant analysis, and density estimation. Journal of the American Statistical Association, 97(458), 611–631. · DOI 10.1198/016214502760047131

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Relaterade metoder

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Taxonomic bucketBayesian Mixture Modelingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketCluster Analysismachine-suggested · Relational suggestion, not evidence.Same method familyEFAmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketLatent Class Analysismachine-suggested · Relational suggestion, not evidence.Same method familyLatent Profile Analysismachine-suggested · Relational suggestion, not evidence.See alsoStructural Equation Modelingmachine-suggested · Relational suggestion, not evidence.