Package: epclust
Title: Clustering individual electricity power curves
Description: EPCLUST: Electric Power curves CLUSTering, through their wavelets
- decomposition. The main method 'epclust' takes (usually long) time-series
+ decomposition. The main function 'claws' takes (usually long) time-series
in input, and return as many clusters centers as requested, along with their
- identifiers (if aplicable). Several parameters can be tuned: please refer to the
- package vignette.
+ ranks and synchrones (sum of all curves in one group).
+ For the method, see ?claws and https://arxiv.org/abs/1101.4744.
+ For usage examples, see ?claws and package vignette.
Version: 0.1-0
Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut],
methods,
parallel,
cluster,
- wavelets,
bigmemory,
- Rwave,
- Rcpp
-LinkingTo:
- Rcpp,
- BH,
- bigmemory
+ wavelets,
+ Rwave
Suggests:
synchronicity,
devtools,
testthat,
+ roxygen2,
MASS,
- clue,
wmtsa,
DBI,
digest
'clustering.R'
'de_serialize.R'
'A_NAMESPACE.R'
- 'RcppExports.R'
+ 'computeSynchrones.R'
+ 'computeWerDists.R'
'plot.R'
+ 'utils.R'