biclustermd: An R Package for Biclustering with Missing Values
John Reisner, Hieu T. T. L. Pham, Sigurdur Olafsson, Stephen B. Vardeman, Jing Li · The R Journal · 2019
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.