Name | Modified | Size | Downloads / Week |
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README | 2021-02-12 | 1.2 kB | |
Rpackage_CoreClustering.tar | 2021-02-11 | 2.2 MB | |
CppPackage.tar | 2021-02-11 | 61.4 kB | |
Totals: 3 Items | 2.3 MB | 0 |
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Package that contains the CORE-clustering algorithm, which goal is to detect variables with a similar behaviour. -> Two versions of the code exist. The first one (recommended) is in pure C++ and the second one is the C++ code wrapped with R, so it can be executed as a Rscript. Please follow the instructions in the README file of either the C++ or the R version to use the CORE-clustering algorithm. Note that example files are given in both cases. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * Authors: Laurent Risser, Camille Champion, Jean-Michel Loubes (Toulouse Federal University; CNRS; Mathematics Institute of Toulouse (IMT); Artificial and Natural Intelligence Toulouse Institute (3IA ANITI), France) * Version of: 11th of February, 2021 * If using our package in a communication, please cite [Champion C., Brunet A.C., Burcelin R., Loubes J.M., Risser L.; Detection of representative variables in complex systems with interpretable rules using CORE-clusters; Algorithms; 2021]. ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++