runtimes {biclustermd} | R Documentation |

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.

[Package *biclustermd* version 0.2.3 Index]