biclustermd-package

<p>The main function is <code>biclustermd()</code>. Results can be plotted with <code>autoplot()</code>
and <code>as.Biclust()</code> converts results to Biclust objects.</p>

Biclustering is a statistical learning technique that simultaneously
partitions and clusters rows and columns of a data matrix. Since the solution
space of biclustering is in infeasible to completely search with current
computational mechanisms, this package uses a greedy heuristic. The algorithm
featured in this package is, to the best our knowledge, the first biclustering
algorithm to work on data with missing values. Li, J., Reisner, J., Pham, H.,
Olafsson, S., and Vardeman, S. (2020) Biclustering with Missing Data. Information
Sciences, 510, 304<e2><80><93>316.

John Reisner

biclustermd

Biclustering with Missing Data

biclustermd-package: biclustermd: A package to bicluster data with missing values

Description

Arguments