EM algorithms for multivariate Gaussian mixture models with truncated and censored data

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2012.03.003 ◽

2012 ◽

Vol 56 (9) ◽

pp. 2816-2829 ◽

Author(s):

Gyemin Lee ◽

Clayton Scott

Keyword(s):

Mixture Models ◽

Censored Data ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Em Algorithms ◽

Truncated And Censored Data ◽

Multivariate Gaussian

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Model choice for binned-EM algorithms of fourteen parsimonious Gaussian mixture models by BIC and ICL criteria

2013 International Conference on System Science and Engineering (ICSSE) ◽

10.1109/icsse.2013.6614690 ◽

2013 ◽

Author(s):

Jingwen Wu ◽

Hani Hamdan

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Model Choice ◽

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Bayesian Spike Sorting: Parametric and Nonparametric Multivariate Gaussian Mixture Models

Case Studies in Applied Bayesian Data Science - Lecture Notes in Mathematics ◽

10.1007/978-3-030-42553-1_8 ◽

2020 ◽

pp. 215-227

Author(s):

Nicole White ◽

Zoé van Havre ◽

Judith Rousseau ◽

Kerrie L. Mengersen

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Spike Sorting ◽

Multivariate Gaussian

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Unsupervised Learning of Correlated Multivariate Gaussian Mixture Models Using MML

Lecture Notes in Computer Science - AI 2003: Advances in Artificial Intelligence ◽

10.1007/978-3-540-24581-0_40 ◽

2003 ◽

pp. 477-489 ◽

Author(s):

Yudi Agusta ◽

David L. Dowe

Keyword(s):

Unsupervised Learning ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Multivariate Gaussian

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A new clustering method of gene expression data based on multivariate Gaussian mixture models

Signal Image and Video Processing ◽

10.1007/s11760-015-0749-5 ◽

2015 ◽

Vol 10 (2) ◽

pp. 359-368 ◽

Author(s):

Zhe Liu ◽

Yu-qing Song ◽

Cong-hua Xie ◽

Zheng Tang

Keyword(s):

Gene Expression ◽

Mixture Models ◽

Gene Expression Data ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Expression Data ◽

Clustering Method ◽

Multivariate Gaussian

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Multivariate Gaussian Mixture Model Based Clustering with Truncated and Censored Data

Journal of Information and Computational Science ◽

10.12733/jics20105242 ◽

2015 ◽

Vol 12 (2) ◽

pp. 775-785

Author(s):

Zunxiong Liu

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Censored Data ◽

Gaussian Mixture ◽

Model Based Clustering ◽

Model Based ◽

Truncated And Censored Data ◽

Multivariate Gaussian

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Exploiting Channel Correlations for NLOS ToA Localization With Multivariate Gaussian Mixture Models

IEEE Wireless Communications Letters ◽

10.1109/lwc.2019.2941878 ◽

2020 ◽

Vol 9 (1) ◽

pp. 70-73 ◽

Author(s):

Chunhua Geng ◽

Xin Yuan ◽

Howard Huang

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Multivariate Gaussian

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Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models

Computational Statistics & Data Analysis ◽

10.1016/s0167-9473(02)00163-9 ◽

2003 ◽

Vol 41 (3-4) ◽

pp. 561-575 ◽

Author(s):

Christophe Biernacki ◽

Gilles Celeux ◽

Gérard Govaert

Keyword(s):

Em Algorithm ◽

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Starting Values ◽

The Em Algorithm ◽

Multivariate Gaussian

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Standardization of multivariate Gaussian mixture models and background adjustment of PET images in brain oncology

The Annals of Applied Statistics ◽

10.1214/18-aoas1149 ◽

2018 ◽

Vol 12 (4) ◽

pp. 2197-2227 ◽

Author(s):

Meng Li ◽

Armin Schwartzman

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Background Adjustment ◽

Multivariate Gaussian

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Sleep spindle detection using multivariate Gaussian mixture models

Journal of Sleep Research ◽

10.1111/jsr.12614 ◽

2017 ◽

Vol 27 (4) ◽

pp. e12614 ◽

Author(s):

Chanakya Reddy Patti ◽

Thomas Penzel ◽

Dean Cvetkovic

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Sleep Spindle ◽

Multivariate Gaussian

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Incremental Learning of Multivariate Gaussian Mixture Models

Advances in Artificial Intelligence – SBIA 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-16138-4_9 ◽

2010 ◽

pp. 82-91 ◽

Author(s):

Paulo Martins Engel ◽

Milton Roberto Heinen

Keyword(s):

Mixture Models ◽

Incremental Learning ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Multivariate Gaussian

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