Sharon X. Lee

According to our database, Sharon X. Lee authored at least 19 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

An overview of skew distributions in model-based clustering.

Sharon X. Lee, Geoffrey J. McLachlan

J. Multivar. Anal., 2022

2021

Multi-node Expectation-Maximization algorithm for finite mixture models.

Sharon X. Lee, Geoffrey J. McLachlan, Kaleb L. Leemaqz

Stat. Anal. Data Min., 2021

Mixtures of factor analyzers with scale mixtures of fundamental skew normal distributions.

Sharon X. Lee, Tsung-I Lin, Geoffrey J. McLachlan

Adv. Data Anal. Classif., 2021

2019

PPEM: Privacy-preserving EM learning for mixture models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

Concurr. Comput. Pract. Exp., 2019

CytoFA: Automated Gating of Mass Cytometry Data via Robust Skew Factor Analzyers.

Sharon X. Lee

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

A Block EM Algorithm for Multivariate Skew Normal and Skew $t$ -Mixture Models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

IEEE Trans. Neural Networks Learn. Syst., 2018

2017

Corruption-Resistant Privacy Preserving Distributed EM Algorithm for Model-Based Clustering.

Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan

Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017

Private Distributed Three-Party Learning of Gaussian Mixture Models.

Kaleb L. Leemaqz, Sharon X. Lee, Geoffrey J. McLachlan

Proceedings of the Applications and Techniques in Information Security, 2017

Mining High-Dimensional CyTOF Data: Concurrent Gating, Outlier Removal, and Dimension Reduction.

Sharon X. Lee

Proceedings of the Databases Theory and Applications, 2017

2016

Finite mixtures of canonical fundamental skew t-distributions - The unification of the restricted and unrestricted skew t-mixture models.

Sharon X. Lee, Geoffrey J. McLachlan

Stat. Comput., 2016

Extending mixtures of factor models using the restricted multivariate skew-normal distribution.

Tsung-I Lin, Geoffrey J. McLachlan, Sharon X. Lee

J. Multivar. Anal., 2016

Partial identification in the statistical matching problem.

Daniel Ahfock, Saumyadipta Pyne, Sharon X. Lee, Geoffrey J. McLachlan

Comput. Stat. Data Anal., 2016

A Simple Parallel EM Algorithm for Statistical Learning via Mixture Models.

Sharon X. Lee, Kaleb L. Leemaqz, Geoffrey J. McLachlan

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Unsupervised Component-Wise EM Learning for Finite Mixtures of Skew t-distributions.

Sharon X. Lee, Geoffrey J. McLachlan

Proceedings of the Advanced Data Mining and Applications - 12th International Conference, 2016

2014

Finite mixtures of multivariate skew t-distributions: some recent and new results.

Sharon X. Lee, Geoffrey J. McLachlan

Stat. Comput., 2014

2013

Rejoinder to the discussion of "Model-based clustering and classification with non-normal mixture distributions".

Sharon X. Lee, Geoffrey J. McLachlan

Stat. Methods Appl., 2013

Model-based clustering and classification with non-normal mixture distributions.

Sharon X. Lee, Geoffrey J. McLachlan

Stat. Methods Appl., 2013

On mixtures of skew normal and skew t-distributions.

Sharon X. Lee, Geoffrey J. McLachlan

Adv. Data Anal. Classif., 2013

2012

Polynomial approximations for Bit Error Probability for 4-DPSK transmission.

Sharon X. Lee

Proceedings of the 6th International Conference on Signal Processing and Communication Systems, 2012