Parsimonious Gaussian mixture models

被引：0
|
作者：
Paul David McNicholas
Thomas Brendan Murphy
机构：
[1] University of Guelph,Department of Mathematics and Statistics
[2] University College Dublin,School of Mathematical Sciences
来源：
Statistics and Computing | 2008年 / 18卷
关键词：
Mixture models; Factor analysis; Probabilistic principal components analysis; Cluster analysis; Model-based clustering;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Parsimonious Gaussian mixture models are developed using a latent Gaussian model which is closely related to the factor analysis model. These models provide a unified modeling framework which includes the mixtures of probabilistic principal component analyzers and mixtures of factor of analyzers models as special cases.
引用
收藏
页码：285 / 296
页数：11
相关论文
共 50 条
  • [1] Parsimonious Gaussian mixture models
    McNicholas, Paul David
    Murphy, Thomas Brendan
    [J]. STATISTICS AND COMPUTING, 2008, 18 (03) : 285 - 296
  • [2] Parsimonious ultrametric Gaussian mixture models
    Cavicchia, Carlo
    Vichi, Maurizio
    Zaccaria, Giorgia
    [J]. STATISTICS AND COMPUTING, 2024, 34 (03)
  • [3] On Bayesian Analysis of Parsimonious Gaussian Mixture Models
    Xiang Lu
    Yaoxiang Li
    Tanzy Love
    [J]. Journal of Classification, 2021, 38 : 576 - 593
  • [4] On Bayesian Analysis of Parsimonious Gaussian Mixture Models
    Lu, Xiang
    Li, Yaoxiang
    Love, Tanzy
    [J]. JOURNAL OF CLASSIFICATION, 2021, 38 (03) : 576 - 593
  • [5] The parsimonious Gaussian mixture models with partitioned parameters and their application in clustering
    Olyaei, Niloofar Aslani Akhore
    Khazaei, Mojtaba
    Najarzadeh, Dariush
    [J]. STATISTICAL METHODS AND APPLICATIONS, 2024, 33 (02): : 407 - 437
  • [6] Parsimonious reduction of Gaussian mixture models with a variational-Bayes approach
    Bruneau, Pierrick
    Gelgon, Marc
    Picarougne, Fabien
    [J]. PATTERN RECOGNITION, 2010, 43 (03) : 850 - 858
  • [7] GAUSSIAN PARSIMONIOUS CLUSTERING MODELS
    CELEUX, G
    GOVAERT, G
    [J]. PATTERN RECOGNITION, 1995, 28 (05) : 781 - 793
  • [8] Online nonparametric Bayesian analysis of parsimonious Gaussian mixture models and scenes clustering
    Zhou, Ri-Gui
    Wang, Wei
    [J]. ETRI JOURNAL, 2021, 43 (01) : 74 - 81
  • [9] Parsimonious airfoil Parameterisation: A deep learning framework with Bidirectional LSTM and Gaussian Mixture models
    le Roux, Vincent
    Davel, Marelie H.
    Bosman, Johan
    [J]. EXPERT SYSTEMS WITH APPLICATIONS, 2024, 255
  • [10] Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models
    McNicholas, P. D.
    Murphy, T. B.
    McDaid, A. F.
    Frost, D.
    [J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2010, 54 (03) : 711 - 723
12345