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Robust Clustering in Regression Analysis via the Contaminated Gaussian
  Cluster-Weighted Model

Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model

21 September 2014
A. Punzo
P. McNicholas
ArXiv (abs)PDFHTML

Papers citing "Robust Clustering in Regression Analysis via the Contaminated Gaussian Cluster-Weighted Model"

5 / 5 papers shown
Title
Multiple Scaled Contaminated Normal Distribution and Its Application in
  Clustering
Multiple Scaled Contaminated Normal Distribution and Its Application in Clustering
A. Punzo
C. Tortora
54
16
0
21 Oct 2018
On Fractionally-Supervised Classification: Weight Selection and
  Extension to the Multivariate t-Distribution
On Fractionally-Supervised Classification: Weight Selection and Extension to the Multivariate t-Distribution
M. Gallaugher
P. McNicholas
54
9
0
24 Sep 2017
A new look at the inverse Gaussian distribution
A new look at the inverse Gaussian distribution
A. Punzo
75
62
0
14 Jul 2017
ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of
  Multivariate Contaminated Normal Distributions
ContaminatedMixt: An R Package for Fitting Parsimonious Mixtures of Multivariate Contaminated Normal Distributions
A. Punzo
A. Mazza
P. McNicholas
42
49
0
12 Jun 2016
Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated
  Shifted Asymmetric Laplace Distributions
Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions
Katherine Morris
A. Punzo
P. McNicholas
R. Browne
66
32
0
26 Feb 2014
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