runtimes: Algorithm run time data

In biclustermd: Biclustering with Missing 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.

biclustermd documentation built on June 17, 2021, 5:11 p.m.