Factor and hybrid components for model-based clustering
type: Item
instance of: scholarly article
title: Factor and hybrid components for model-based clustering
author: Jason Hou-Liu
author: Ryan P. Browne
published in: Advances in Data Analysis and Classification. ADAC
publication date: 2022-10-06T00:00:00Z
Mathematics Subject Classification ID: 62-08
zbMATH DE Number: 7597421
zbMATH Keywords: model-based clustering
zbMATH Keywords: intracluster structure
zbMATH Keywords: factor loadings
zbMATH Keywords: multivariate normal
zbMATH Keywords: mixture model
zbMATH Keywords: expectation-maximization
describes a project that uses: mclust
describes a project that uses: palmerpenguins
describes a project that uses: STRUCTURE
MaRDI profile type: Publication
full work available at URL: s11634-021-00483-2
OpenAlex ID: W4205280904
cites work: Mixed membership stochastic blockmodels
cites work: Handbook of Mixed Membership Models and Their Applications
cites work: Model-Based Gaussian and Non-Gaussian Clustering
cites work: Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
cites work: 10.1162/jmlr.2003.3.4-5.993
cites work: The distribution of the likelihood ratio for mixtures of densities from the one-parameter exponential family
cites work: Estimating common principal components in high dimensions
cites work: Archetypal Analysis
cites work: Q4139463
cites work: Algorithms for Model-Based Gaussian Hierarchical Clustering
cites work: A numerically stable dual method for solving strictly convex quadratic programs
cites work: A grade of membership model for rank data
cites work: Convex and Discrete Geometry
cites work: Q4434671
cites work: Identifiability of Finite Mixtures of Elliptical Distributions
cites work: Q3713407
cites work: Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
cites work: Maximum likelihood estimation via the ECM algorithm: A general framework
cites work: Estimating the dimension of a model
cites work: Clustering Criteria and Multivariate Normal Mixtures
cites work: Maximum Likelihood Characterization of Distributions
cites work: On the Identifiability of Finite Mixtures
cites work: Epistatic Clustering: A Model-Based Approach for Identifying Links Between Clusters
DOI: 10.1007/S11634-021-00483-2
description: scientific article; zbMATH DE number 7597421