Randomly select a row prototype to fill an empty row prototype with
fill_empties_Q(data, obj, row_min_num = 10, row_num_to_move = 5)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.
A matrix for row clusters, typically named Q
Minimum row prototype size in order to be eligible to be chosen when filling an empty row prototype. Default is 10.
Number of rows to remove from the sampled prototype to put in the empty row prototype. Default is 5.
A matrix for row clusters, i.e., a Q matrix.