Campus Units

Industrial and Manufacturing Systems Engineering, Statistics

Document Type


Publication Version

Accepted Manuscript

Publication Date


Journal or Book Title

The R Journal

Research Focus Area(s)

Information Engineering


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.


This is a manuscript of an article published as Reisner, John, Hieu Pham, Sigurdur Olafsson, Stephen Vardeman, and Jing Li. "biclustermd: An R Package for Biclustering with Missing Values." (2019). Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 International License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright Owner

The Author(s)



File Format


Published Version