partition_gen

<p>Number of objects/rows in a partition matrix</p>

<p>This function is used to randomly generate a partition matrix and assign rows or columns to prototypes. Must be the case that N &gt; K.</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

partition_gen: Generate an intial, random partition matrix with N objects into K subsets/groups.

Description

Usage

Arguments

Value