TY  - JOUR 
AU  - Cerioli, Andrea
AU  - García Escudero, Luis Ángel
AU  - Mayo Iscar, Agustín
AU  - Riani, Marco
PY  - 2018
SN  - 1061-8600
UR  - http://uvadoc.uva.es/handle/10324/32023
AB  - Deciding the number of clusters k is one of the most difficult problems in clus-
ter analysis. For this purpose, complexity-penalized likelihood approaches have been
introduced in model-based clustering, such as the well known BIC and ICL...
LA  - eng
PB  - Taylor & Francis
KW  - BIC
KW  - CEM algorithm
KW  - Clustering
KW  - EM algorithm
KW  - ICL
KW  - Mixtures
TI  - Finding the number of normal groups in model-based clustering via constrained likelihoods
DO  - 10.1080/10618600.2017.1390469
ER  -