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 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.
+Title: Clustering Individual Electricity Power Curves
+Description: Electric Power curves CLUSTering, through their wavelets
+ decomposition. The main function 'claws' takes (usually long) time-series
+ in input, and return as many clusters centers as requested, along with their
+ 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]
+Author: Benjamin Auder <Benjamin.Auder@math.u-psud.fr> [aut,cre],
+ Jairo Cugliari <Jairo.Cugliari@univ-lyon2.fr> [aut],
+ Yannig Goude <Yannig.Goude@edf.fr> [ctb],
+ Jean-Michel Poggi <Jean-Michel.Poggi@math.u-psud.fr> [ctb]
Maintainer: Benjamin Auder <Benjamin.Auder@math.u-psud.fr>
Depends:
- R (>= 3.0.0),
- parallel,
- cluster,
- wavelets
+ R (>= 3.0.0)
+Imports:
+ methods,
+ parallel,
+ cluster,
+ bigmemory,
+ wavelets,
+ Rwave
Suggests:
+ synchronicity,
+ devtools,
testthat,
- knitr
+ roxygen2,
+ MASS,
+ wmtsa,
+ DBI,
+ digest
License: MIT + file LICENSE
+RoxygenNote: 6.0.1
+Collate:
+ 'main.R'
+ 'clustering.R'
+ 'de_serialize.R'
+ 'A_NAMESPACE.R'
+ 'computeSynchrones.R'
+ 'computeWerDists.R'
+ 'plot.R'
+ 'utils.R'