Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance R package dtwclust version 6.0.0 CRAN Task View: TimeSeries (https://CRAN.R-project.org/view=TimeSeries) Time series clustering along with optimized techniques related to the Dynamic Time Warping distance and its corresponding lower bounds. Implementations of partitional, hierarchical, fuzzy, k-Shape and TADPole clustering are available. Functionality can be easily extended with custom distance measures and centroid definitions. Implementations of DTW barycenter averaging, a distance based on global alignment kernels, and the soft-DTW distance and centroid routines are also provided. All included distance functions have custom loops optimized for the calculation of cross-distance matrices, including parallelization support. Several cluster validity indices are included. Software Depends: R (>= 3.3.0), methods, proxy (>= 0.4-16), dtw Imports: parallel, stats, utils, clue, cluster, dplyr, flexclust, foreach, ggplot2, ggrepel, rlang, Matrix (>= 1.5-0), RSpectra, Rcpp, RcppParallel (>= 4.4.0), reshape2, shiny, shinyjs LinkingTo: Rcpp, RcppArmadillo, RcppParallel, RcppThread Suggests: doParallel, iterators, knitr, rmarkdown, testthat Alexis Sarda <alexis.sarda@gmail.com> Comprehensive R Archive Network (CRAN) Alexis Sarda-Espinosa GPL-3 2024-07-23 application/tgz https://CRAN.R-project.org/package=dtwclust doi:10.32614/CRAN.package.dtwclust