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


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Documentation for package ‘dtwclust’ version 6.0.0

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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
DistmatLowerTriangular Distance matrix's lower triangular
DistmatLowerTriangular-class Distance matrix's lower triangular
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