RobustEM: Robust Mixture Modeling Fitted via Spatial-EM Algorithm for Model-Based Clustering and Outlier Detection
Version 1.0

The Spatial-EM is a new robust EM algorithm for the finite mixture learning procedures. The algorithm utilizes median- based location and rank-based scatter estimators to replace sample mean and sample covariance matrix in each M step, hence enhancing stability and robustness of the algorithm. To understand more about this algorithm, read the article ''Yu, K., Dang, X., Bart Jr, H. and Chen, Y. (2015). Robust Model- based Learning via Spatial-EM Algorithm. IEEE Transactions on Knowledge and Data Engineering, 27(6), 1670-1682. doi:10.1109/TKDE.2014.2373355''.

Getting started

Package details

AuthorAishat Aloba, Kai Yu, Xin Dang, Yixin Chen, and Henry Bart Jr.
Date of publication2015-06-05 01:11:35
MaintainerAishat Aloba <[email protected]>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("RobustEM")

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RobustEM documentation built on April 14, 2017, 10:05 a.m.