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1512.03350
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Variable Selection for Latent Class Analysis with Application to Low Back Pain Diagnosis
10 December 2015
Michael Fop
K. Smart
T. B. Murphy
CML
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Papers citing
"Variable Selection for Latent Class Analysis with Application to Low Back Pain Diagnosis"
7 / 7 papers shown
Title
Variable selection for clustering with Gaussian mixture models: state of the art
Abdelghafour Talibi
B. Achchab
R. Lasri
53
15
0
31 Jan 2017
clustvarsel: A Package Implementing Variable Selection for Model-based Clustering in R
Luca Scrucca
A. Raftery
49
75
0
03 Nov 2014
Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler
Arthur J. White
J. Wyse
T. B. Murphy
65
49
0
27 Feb 2014
Model-based clustering for conditionally correlated categorical data
M. Marbac
C. Biernacki
V. Vandewalle
CML
70
35
0
22 Jan 2014
Mixture of Latent Trait Analyzers for Model-Based Clustering of Categorical Data
Isabella Gollini
T. B. Murphy
56
84
0
10 Jan 2013
Clustering and variable selection for categorical multivariate data
D. Bontemps
Wilson Toussile
76
15
0
05 Feb 2010
Penalized model-based clustering with cluster-specific diagonal covariance matrices and grouped variables
Benhuai Xie
Wei Pan
Xiaotong Shen
129
81
0
21 Feb 2008
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