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README 2021-02-12 1.2 kB
Rpackage_CoreClustering.tar 2021-02-11 2.2 MB
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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.


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* 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].

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Source: README, updated 2021-02-12