runtimes: Algorithm run time data
In jreisner/sparseBiclustering: Biclustering with Missing Data

Description Usage Format Details

This dataset stems from the R journal article introducing biclustermd to R users. It describes the data attributes and run time for varying data sizes and structures.

runtimes

An object of class data.frame with 2400 rows and 13 columns.

A data frame of 2400 rows and 13 variables (defined range, inclusive):

combination_no: Unique identifier of a combination of parameters.
rows: Number of rows in the data matrix. (50, 1500)
cols: Number of columns in the data matrix. (50, 1500)
N: Product of the dimensions of the data. (2500, 2250000)
row_clusts: Number of clusters to partition the rows into. (4, 300)
col_clusts: Number of clusters to partition the columns into. (4, 300)
avg_row_clust_size: Average row cluster size. rows / row_clusts
avg_col_clust_size: Average column cluster size. cols / col_clusts
sparsity: Percent of data values which are missing.
user.self: CPU time used executing instructions to calls (from ?proc.time.
sys.self: CPU time used executing calls (from ?proc.time.
elapsed: Amount of time in seconds it took the algorithm to converge.
iterations: Number of iterations to convergence.