Name
Abstract | ||
|---|---|---|
•Problem: find the original contingency table from a correspondence analysis solution.•Our methodology, using integer programming, improves considerably on earlier methods.•Even for fairly large cases, we retrieve original data based on the 2D approximations.•Application to recent paper: successful retrieval of unpublished contingency matrices. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ejor.2019.11.014 | European Journal of Operational Research |
Keywords | Field | DocType |
Multivariate statistics,Inverse problems,Integer programming,Correspondence analysis | Applied mathematics,Singular value decomposition,Mathematical optimization,Dimensionality reduction,Matrix (mathematics),Categorical variable,Curse of dimensionality,Integer programming,Contingency table,Correspondence analysis,Mathematics | Journal |
Volume | Issue | ISSN |
283 | 2 | 0377-2217 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michel Van De Velden | 1 | 6 | 2.45 |
| Wilco van den Heuvel | 2 | 0 | 0.34 |
| Hugo Galy | 3 | 0 | 0.34 |
| Patrick J. F. Groenen | 4 | 84 | 11.72 |