Latent class models forclassi%cation
Jeroen Kornelis Vermunt, Jay Magidson · 2003
An overview is provided of recent developments in the use of latent class (LC) and other types of %nite mixture models for classi%cation purposes. Several extensions of existing models are presented. Two basic types of LC models for classi%cation are de%ned: supervised and unsupervised structures. Their most important special cases are presented and illustrated with an empirical example. c 2002 Elsevier Science B.V. All rights reserved.