X-Git-Url: https://git.auder.net/?p=epclust.git;a=blobdiff_plain;f=epclust%2FDESCRIPTION;h=8e4a51b9a91a871a18c38a28e159b3de0f4befba;hp=7fd3410f190481da275d9a3c51752eadac0d29e6;hb=282342bafdc9ff65c5df98c6e2304d63b33b9fb2;hpb=3c5a4b0880db63367a474a568e1322b3999932fe diff --git a/epclust/DESCRIPTION b/epclust/DESCRIPTION index 7fd3410..8e4a51b 100644 --- a/epclust/DESCRIPTION +++ b/epclust/DESCRIPTION @@ -1,10 +1,11 @@ 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 [aut,cre], Jairo Cugliari [aut], @@ -17,20 +18,15 @@ Imports: methods, parallel, cluster, - wavelets, bigmemory, - Rwave, - Rcpp -LinkingTo: - Rcpp, - BH, - bigmemory + wavelets, + Rwave Suggests: synchronicity, devtools, testthat, + roxygen2, MASS, - clue, wmtsa, DBI, digest @@ -41,5 +37,7 @@ Collate: 'clustering.R' 'de_serialize.R' 'A_NAMESPACE.R' - 'RcppExports.R' + 'computeSynchrones.R' + 'computeWerDists.R' 'plot.R' + 'utils.R'