On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
type: Item
instance of: scholarly article
title: On a resampling approach for tests on the number of clusters with mixture model-based clustering of tissue samples
zbMATH Open document ID: 1052.65006
author: Yanyan Li
published in: Journal of Multivariate Analysis
publication date: 2004-08-16T00:00:00Z
Mathematics Subject Classification ID: 65C60
zbMATH DE Number: 2091265
zbMATH Keywords: Microarray gene expression data
zbMATH Keywords: Mixture models
zbMATH Keywords: Clustering of tissue samples
zbMATH Keywords: Tests on number of clusters
zbMATH Keywords: Likelihood ratio statistic
zbMATH Keywords: Resampling approach
zbMATH Keywords: numerical examples
describes a project that uses: vsn
describes a project that uses: EMMIX
MaRDI profile type: Publication
full work available at URL: j.jmva.2004.02.002
OpenAlex ID: W2141951767
cites work: A mixture model approach for the analysis of microarray gene expression data.
cites work: Q4532843
cites work: Q5180702
cites work: Some computational issues in cluster analysis with no a priori metric
cites work: Q4139463
cites work: Q5314564
cites work: A Method for Comparing Two Hierarchical Clusterings
cites work: Statistical theory in clustering
cites work: Breakdown points for maximum likelihood estimators of location-scale mixtures
cites work: Q5578648
cites work: Parameter estimation for the calibration and variance stabilization of microarray data
cites work: Exploration, normalization, and summaries of high density oligonucleotide array probe level data
cites work: Finding Groups in Data
cites work: A Criterion for Determining the Number of Groups in a Data Set Using Sum-of-Squares Clustering
cites work: Q4353852
cites work: Finite mixture models
cites work: Modelling high-dimensional data by mixtures of factor analyzers
cites work: The analysis of gene expression data. Methods and software
cites work: Statistical inference for simultaneous clustering of gene expression data
cites work: Estimating the dimension of a model
cites work: Estimating the number of clusters in a data set via the gap statistic
DOI: 10.1016/J.JMVA.2004.02.002
description: scientific article; zbMATH DE number 2091265