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Variable Selection for Latent Class Analysis with Application to Low
  Back Pain Diagnosis

Variable Selection for Latent Class Analysis with Application to Low Back Pain Diagnosis

10 December 2015
Michael Fop
K. Smart
T. B. Murphy
    CML
ArXivPDFHTML

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
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
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
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
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
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
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
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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