Dirk Depril
Contact information
Dirk Depril
Research interests
- Additive Clustering models and algorithms
- Computational statistics
- Local search techniques
Publications
Group by: Type / Year & Type
International journal articles
- Depril, D., Van Mechelen, I., & Mirkin, B. G. (2008). Algorithms for additive clustering of rectangular data tables. Computational Statistics & Data Analysis, 52, 4923-4938. doi:10.1016/j.csda.2008.04.014
- Depril, D., Van Mechelen, I., & Wilderjans, T. F. (in press). Lowdimensional additive overlapping clustering. Journal of Classification.
- Wilderjans, T. F., Ceulemans, E., Van Mechelen, I., & Depril, D. (2011). ADPROCLUS: A graphical user interface for fitting additive profile clustering models to object by variable data matrices. Behavior Research Methods, 43, 56-65. doi:10.3758/s13428-010-0033-0
- Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Additive biclustering: A comparison of one new and two existing ALS algorithms. Journal of Classification.
- Wilderjans, T. F., Depril, D., & Van Mechelen, I. (in press). Block-relaxation approaches for fitting the INDCLUS model. Journal of Classification.
Chapters in books
- Depril, D., & Van Mechelen, I. (2005). One-mode additive clustering of multiway data. In J. Janssen & P. Lenca (Eds.), Applied stochastic models and data analysis (pp. 724-729). Brest, France: ENST Bretagne.
Software
| Name | Short description |
|---|---|
| ADPROCLUS | The ADPROCLUS software program is a graphical user interface for fitting additive profile clustering models to object by variable data matrices. |