Elbow method selection for determining the number of latent classes.

Sarmiento, Olga L.; Useche, Andrés F.; Rodriguez, Daniel A.; Dronova, Iryna; Guaje, Oscar; Montes, Felipe; Stankov, Ivana; Wilches, Maria Alejandra; Bilal, Usama; Wang, Xize; Guzmán, Luis A.; Peña, Fabian; Quistberg, D. Alex; Guerra-Gomez, John A.; Roux, Ana V. Diez

doi:10.1371/journal.pone.0257528.s004

pone.0257528.s004.docx (324.41 kB)

Elbow method selection for determining the number of latent classes.

journal contribution

posted on 2021-10-26, 17:26 authored by Olga L. Sarmiento, Andrés F. Useche, Daniel A. Rodriguez, Iryna Dronova, Oscar Guaje, Felipe Montes, Ivana Stankov, Maria Alejandra Wilches, Usama Bilal, Xize Wang, Luis A. Guzmán, Fabian Peña, D. Alex Quistberg, John A. Guerra-Gomez, Ana V. Diez Roux

A 1.5% of decrease in the Bayesian Information Criteria (BIC) function was used as stop criteria to determine the number of latent classes in each dimension. RE corresponds to relative entropy and PDBIC corresponds to the percentage of decreasing in BIC.

(DOCX)