An interface that gives access to the Java program 'EPP-lab' which implements several biologically inspired optimisation algorithms and several indices for Exploratory Projection Pursuit (PP). The objective of optimizing PP indices and projecting the data on the associated one-dimensional directions is to detect hidden structures such as clusters or outliers in (possibly high dimensional) data sets. The 'EPP-lab' sources and jar-files are available under https://github.com/fischuu/EPP-lab. For a detailed description of 'EPP-lab', see Larabi (2011).
Daniel Fischer, Alain Berro, Klaus Nordhausen, Anne Ruiz-Gazen
Maintainer: Daniel Fischer <daniel.fischer@luke.fi>
| Package: | REPPlab |
| Type: | Package |
| Version: | 0.9.6 |
| Date: | 2023-12-11 |
| License: | GPL |
| LazyLoad: | yes |
Larabi Marie-Sainte, S., (2011), Biologically inspired algorithms for exploratory projection pursuit, PhD thesis, University of Toulouse.
Ruiz-Gazen, A., Larabi Marie-Sainte, S. and Berro, A. (2010), Detecting multivariate outliers using projection pursuit with particle swarm optimization, COMPSTAT2010, pp. 89-98.
Berro, A., Larabi Marie-Sainte, S. and Ruiz-Gazen, A. (2010). Genetic algorithms and particle swarm optimization for exploratory projection pursuit. Annals of Mathematics and Artifcial Intelligence, 60, 153-178.
Larabi Marie-Sainte, S., Berro, A. and Ruiz-Gazen, A. (2010). An effcient optimization method for revealing local optima of projection pursuit indices. Swarm Intelligence, pp. 60-71.