| runtimes {biclustermd} | R Documentation |
Algorithm run time data
Description
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.
Usage
runtimes
Format
An object of class data.frame with 2400 rows and 13 columns.
Details
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.