Robust Model-Based Clustering for Data Sets with Missing Values at Random

Implementation of robust model based cluster analysis with missing data. The models used are: Multivariate Contaminated Normal Mixtures (MCNM), Multivariate Student's t Mixtures (MtM), and Multivariate Normal Mixtures (MNM) for data sets with missing values at random. "Cluster analysis and outlier detection with missing data" Hung Tong, Cristina Tortora (2020) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


1.0.0 by Hung Tong, 2 months ago

Browse source code at

Authors: Hung Tong [aut, cre] , Cristina Tortora [aut, ths, dgs]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports ContaminatedMixt, mvtnorm, mnormt, cluster, rootSolve, ggplot2, GGally

Suggests mice

See at CRAN