# Time Series Clustering Along with Optimizations for the Dynamic Time Warping Distance

## Documentation for package ‘dtwclust’ version 5.5.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

dtwclust-package | Time series clustering along with optimizations for the Dynamic Time Warping distance
as.matrix | as.matrix
CharTraj | Subset of character trajectories data set
CharTrajLabels | Subset of character trajectories data set
CharTrajMV | Subset of character trajectories data set
compare_clusterings | Compare different clustering configurations
compare_clusterings_configs | Create clustering configurations.
compute_envelope | Time series warping envelopes
cvi | Cluster validity indices
cvi,FuzzyTSClusters | Cluster validity indices
cvi,HierarchicalTSClusters | Cluster validity indices
cvi,PartitionalTSClusters | Cluster validity indices
cvi-method | Cluster validity indices
cvi_evaluators | Cluster comparison based on CVIs
DBA | DTW Barycenter Averaging
dba | DTW Barycenter Averaging
dtw2 | DTW distance with L2 norm
dtwclustTimings | Results of timing experiments
dtw_basic | Basic DTW distance
dtw_lb | DTW distance matrix guided by Lemire's improved lower bound
FuzzyTSClusters | Class definition for 'TSClusters' and derived classes
FuzzyTSClusters-class | Class definition for 'TSClusters' and derived classes
fuzzy_control | Control parameters for clusterings with 'tsclust()'
GAK | Fast global alignment kernels
gak | Fast global alignment kernels
HierarchicalTSClusters | Class definition for 'TSClusters' and derived classes
HierarchicalTSClusters-class | Class definition for 'TSClusters' and derived classes
hierarchical_control | Control parameters for clusterings with 'tsclust()'
initialize,TSClusters | Methods for 'TSClusters'
initialize-method | Methods for 'TSClusters'
interactive_clustering | A shiny app for interactive clustering
lb_improved | Lemire's improved DTW lower bound
lb_keogh | Keogh's DTW lower bound
NCCc | Cross-correlation with coefficient normalization
pam_cent | Centroid for partition around medoids
PartitionalTSClusters | Class definition for 'TSClusters' and derived classes
PartitionalTSClusters-class | Class definition for 'TSClusters' and derived classes
partitional_control | Control parameters for clusterings with 'tsclust()'
pdc_configs | Helper function for preprocessing/distance/centroid configurations
plot,TSClusters,missing | Methods for 'TSClusters'
plot-method | Methods for 'TSClusters'
plot.TSClusters | Methods for 'TSClusters'
predict,TSClusters | Methods for 'TSClusters'
predict-method | Methods for 'TSClusters'
predict.TSClusters | Methods for 'TSClusters'
reinterpolate | Wrapper for simple linear reinterpolation
repeat_clustering | Repeat a clustering configuration
SBD | Shape-based distance
sbd | Shape-based distance
sdtw | Soft-DTW distance
sdtw_cent | Centroid calculation based on soft-DTW
shape_extraction | Shape average of several time series
show,TSClusters | Methods for 'TSClusters'
show-method | Methods for 'TSClusters'
ssdtwclust | A shiny app for semi-supervised DTW-based clustering
TADPole | TADPole clustering
tadpole | TADPole clustering
tadpole_control | Control parameters for clusterings with 'tsclust()'
tsclust | Time series clustering
tsclust-controls | Control parameters for clusterings with 'tsclust()'
TSClusters | Class definition for 'TSClusters' and derived classes
TSClusters-class | Class definition for 'TSClusters' and derived classes
TSClusters-methods | Methods for 'TSClusters'
tsclusters-methods | Methods for 'TSClusters'
tsclustFamily | Class definition for 'tsclustFamily'
tsclustFamily-class | Class definition for 'tsclustFamily'
tsclust_args | Control parameters for clusterings with 'tsclust()'
tslist | Coerce matrices or data frames to a list of time series
uciCT | Subset of character trajectories data set
ucict | Subset of character trajectories data set
update,TSClusters | Methods for 'TSClusters'
update-method | Methods for 'TSClusters'
update.TSClusters | Methods for 'TSClusters'
zscore | Wrapper for z-normalization