TY  - GEN 
AU  - Cerioli, Andrea
AU  - García Escudero, Luis Ángel
AU  - Mayo Iscar, Agustín
AU  - Riani, Marco
PY  - 2016
UR  - http://uvadoc.uva.es/handle/10324/18093
AB  - Deciding the number of clusters k is one of the most difficult problems in Cluster
Analysis. For this purpose, complexity-penalized likelihood approaches have been
introduced in model-based clustering, such as the well known BIC and ICL...
LA  - spa
KW  - Estadística
TI  - Finding the Number of Groups in Model-Based Clustering via Constrained Likelihoods
ER  -