Zapis dokaza metode
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.
Izvorni zapis
Citati kopirani doslovno iz izvornog zapisa metode. Ne impliciraju nikakvu provjeru na razini tvrdnje.
Finite Mixture Modeling
Taksonomski zapis metode · 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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Nema uređenih tvrdnji
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Povezane metode
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