Biclustering with missing data

Biclustering is a statistical learning methodology that simultaneously partitions rows and columns of a rectangular data array into homogeneous subsets. Biclustering is known to be an NP-hard problem, and therefore various null heuristic approaches null have been proposed. These strategies break down when dealing with any degree of missing data in a two-way table of data values. To address this issue, we propose a new biclustering method based...