Model-Based Gaussian and Non-Gaussian Clustering
type: Item
instance of: scholarly article
title: Model-Based Gaussian and Non-Gaussian Clustering
zbMATH Open document ID: 0794.62034
DOI: 10.2307/2532201
author: Jeffrey D. Banfield
author: Adrian E. Raftery
published in: Biometrics
publication date: 1994-01-06T00:00:00Z
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 62F15
zbMATH DE Number: 481973
zbMATH Keywords: magnetic resonance image of the brain
zbMATH Keywords: Bayes factors
zbMATH Keywords: hierarchical agglomeration
zbMATH Keywords: iterative relocation
zbMATH Keywords: mixture models
zbMATH Keywords: classification maximum likelihood approach
zbMATH Keywords: clustering algorithms
zbMATH Keywords: sum of squares criterion
zbMATH Keywords: reparameterization of the covariance matrix
zbMATH Keywords: non-Gaussian clustering
zbMATH Keywords: noise
zbMATH Keywords: Poisson process
zbMATH Keywords: approximate Bayesian method
zbMATH Keywords: simulation
zbMATH Keywords: diabetes
MaRDI profile type: Publication
OpenAlex ID: W2082503527
description: scientific article; zbMATH DE number 481973