Latent class models for classification
نویسندگان
چکیده
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.
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ورودعنوان ژورنال:
- Computational Statistics & Data Analysis
دوره 41 شماره
صفحات -
تاریخ انتشار 2003