Campus Units
Industrial and Manufacturing Systems Engineering, Statistics
Document Type
Article
Publication Version
Accepted Manuscript
Publication Date
2019
Journal or Book Title
The R Journal
Research Focus Area(s)
Information Engineering
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Copyright Owner
The Author(s)
Copyright Date
2019
Language
en
File Format
application/pdf
Recommended Citation
Reisner, John; Pham, Hieu; Olafsson, Sigurdur; Vardeman, Stephen B.; and Li, Jing, "biclustermd: An R Package for Biclustering with Missing Values" (2019). Industrial and Manufacturing Systems Engineering Publications. 225.
https://lib.dr.iastate.edu/imse_pubs/225
Included in
Operations Research, Systems Engineering and Industrial Engineering Commons, Statistics and Probability Commons
Comments
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.