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Estimating Common Principal Components in High Dimensions

Estimating Common Principal Components in High Dimensions

Advances in Data Analysis and Classification (ADAC), 2013
8 February 2013
R. Browne
P. McNicholas
ArXiv (abs)PDFHTML

Papers citing "Estimating Common Principal Components in High Dimensions"

18 / 18 papers shown
Shared active subspace for multivariate vector-valued functions
Shared active subspace for multivariate vector-valued functions
Khadija Musayeva
M. Binois
194
1
0
05 Jan 2024
Improving Model Choice in Classification: An Approach Based on
  Clustering of Covariance Matrices
Improving Model Choice in Classification: An Approach Based on Clustering of Covariance MatricesStatistics and computing (Stat. Comput.), 2023
David Rodríguez-Vítores
Carlos Matrán
68
1
0
22 Feb 2023
A parsimonious family of multivariate Poisson-lognormal distributions
  for clustering multivariate count data
A parsimonious family of multivariate Poisson-lognormal distributions for clustering multivariate count data
Sanjeena Subedi
R. Browne
149
2
0
15 Apr 2020
Clustering Higher Order Data: An Application to Pediatric Multi-variable
  Longitudinal Data
Clustering Higher Order Data: An Application to Pediatric Multi-variable Longitudinal Data
Peter A. Tait
P. McNicholas
Joyce Obeid
133
9
0
19 Jul 2019
An Evolutionary Algorithm with Crossover and Mutation for Model-Based
  Clustering
An Evolutionary Algorithm with Crossover and Mutation for Model-Based Clustering
Sharon M. McNicholas
P. McNicholas
D. Ashlock
TPM
186
6
0
31 Oct 2018
Multivariate normal mixture modeling, clustering and classification with
  the rebmix package
Multivariate normal mixture modeling, clustering and classification with the rebmix package
M. Nagode
52
7
0
26 Jan 2018
Flexible Clustering for High-Dimensional Data via Mixtures of Joint
  Generalized Hyperbolic Models
Flexible Clustering for High-Dimensional Data via Mixtures of Joint Generalized Hyperbolic Models
Yang Tang
R. Browne
P. McNicholas
144
14
0
09 May 2017
Mixtures of Multivariate Power Exponential Distributions
Mixtures of Multivariate Power Exponential Distributions
U. Dang
R. Browne
P. McNicholas
210
75
0
12 Jun 2015
Multivariate response and parsimony for Gaussian cluster-weighted models
Multivariate response and parsimony for Gaussian cluster-weighted models
U. Dang
A. Punzo
P. McNicholas
S. Ingrassia
R. Browne
233
82
0
03 Nov 2014
Hypothesis Testing for Parsimonious Gaussian Mixture Models
Hypothesis Testing for Parsimonious Gaussian Mixture Models
A. Punzo
R. Browne
P. McNicholas
159
6
0
02 May 2014
Model Based Clustering of High-Dimensional Binary Data
Model Based Clustering of High-Dimensional Binary DataComputational Statistics & Data Analysis (CSDA), 2014
Yang Tang
R. Browne
P. McNicholas
193
27
0
11 Apr 2014
A Mixture of Generalized Hyperbolic Factor Analyzers
A Mixture of Generalized Hyperbolic Factor AnalyzersAdvances in Data Analysis and Classification (ADAC), 2013
C. Tortora
P. McNicholas
R. Browne
226
74
0
26 Nov 2013
Parsimonious Shifted Asymmetric Laplace Mixtures
Parsimonious Shifted Asymmetric Laplace Mixtures
B. Franczak
P. McNicholas
R. Browne
P. Murray
115
14
0
01 Nov 2013
Fractionally-Supervised Classification
Fractionally-Supervised ClassificationJournal of Classification (J. Classif.), 2013
Irene Vrbik
P. McNicholas
243
25
0
13 Jul 2013
Constrained Optimization for a Subset of the Gaussian Parsimonious
  Clustering Models
Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models
R. Browne
Sanjeena Subedi
P. McNicholas
149
11
0
25 Jun 2013
A Variational Approximations-DIC Rubric for Parameter Estimation and
  Mixture Model Selection Within a Family Setting
A Variational Approximations-DIC Rubric for Parameter Estimation and Mixture Model Selection Within a Family SettingJournal of Classification (J. Classif.), 2013
Sanjeena Subedi
P. McNicholas
352
8
0
23 Jun 2013
Parsimonious mixtures of multivariate contaminated normal distributions
Parsimonious mixtures of multivariate contaminated normal distributions
A. Punzo
P. McNicholas
253
125
0
20 May 2013
Mixture Model Averaging for Clustering
Mixture Model Averaging for ClusteringAdvances in Data Analysis and Classification (ADAC), 2012
Yuhong Wei
P. McNicholas
MoMe
219
27
0
23 Dec 2012
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