Dataset Open Access
Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"
Derval Guillaume;
Branders Vincent;
Dupont Pierre;
Schaus Pierre
Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach".
Includes both the generated datasets as a zip archive and the python script used to generate them.
Each instance is composed of two files in the form
- XxY_K_O_0xN_AxB_Smatrix.tsv being the matrix to use. Each row on a separate line, with tab-separated cells.
- XxY_K_O_0xN_AxB_Ssolution.txt giving the implanted solution. One submatrix per line. Then two JSON arrays follow, separated by a tabulation. The first is the list of rows selected in the submatrix, the second the columns.
With:
- X and Y the size of the matrix
- K the number of submatrices in the implanted solution
- O the (minimum) overlap percentage of each submatrix
- N the sigma used for the background noise
- A and B the size of the implanted submatrices (subject to noise)
Files
(1.6 GB)
| Name | Size | |
|---|---|---|
|
data.zip
md5:8fdc30aa0546ed2b8a520c06b4b387b4 |
1.6 GB | Download |
|
data_small.zip
md5:e00d2805076a00aa5515fb988fda6573 |
4.7 MB | Download |
|
generation.py
md5:4008ea48e3afae4d8466fdb9b9f2f65a |
10.5 kB | Download |
320
32
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 320 | 0 |
| Downloads | 32 | 0 |
| Data volume | 14.7 GB | 0 Bytes |
| Unique views | 281 | 0 |
| Unique downloads | 27 | 0 |
Indexed in
- Publication date:
- November 29, 2018
- DOI:
-
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International