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
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