Title: Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach"
Type Dataset Derval Guillaume, Branders Vincent, Dupont Pierre, Schaus Pierre (2018): Synthetic dataset used in "The maximum weighted submatrix coverage problem: A CP approach". Zenodo. Dataset. https://zenodo.org/record/1688740
Links
- Item record in Zenodo
- Digital object URL
Summary
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)
More information
- DOI: 10.5281/zenodo.1688740
Dates
- Publication date: 2018
- Issued: November 29, 2018
Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Format
electronic resource
Relateditems
| Description | Item type | Relationship | Uri |
|---|---|---|---|
| IsVersionOf | https://doi.org/10.5281/zenodo.1688739 | ||
| IsPartOf | https://zenodo.org/communities/zenodo |