cluster_iteration_sum_sse

<p>The data being biclustered. Must to be a data matrix with only numbers and missing values in the data set. It should have row names and column names.</p>

data

<p>Calculate the sum cluster SSE in each iteration</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

cluster_iteration_sum_sse: Calculate the sum cluster SSE in each iteration

Description

Usage

Arguments

Value