Statistics, Department of
The R Journal
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Date of this Version
12-2019
Document Type
Article
Citation
The R Journal (December 2019) 11(2); Editor: Michael J. Kane
Abstract
Biclustering is a statistical learning technique that attempts to find homogeneous partitions of rows and columns of a data matrix. For example, movie ratings might be biclustered to group both raters and movies. biclust is a current R package allowing users to implement a variety of biclustering algorithms. However, its algorithms do not allow the data matrix to have missing values. We provide a new R package, biclustermd, which allows users to perform biclustering on numeric data even in the presence of missing values.
Included in
Numerical Analysis and Scientific Computing Commons, Programming Languages and Compilers Commons
Comments
Copyright 2019, The R Foundation. Open access material. License: CC BY 4.0 International