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

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Documentation for package ‘dtwclust’ version 5.5.12

• 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
dtwclust	Time series clustering along with optimizations for the Dynamic Time Warping distance
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