A set of commonly used distance measures and some additional functions which, although initially not designed for this purpose, can be used to measure the dissimilarity between time series. These measures can be used to perform clustering, classification or other data mining tasks which require the definition of a distance measure between time series.
|Author||Usue Mori, Alexander Mendiburu, J.A. Lozano|
|Date of publication||2016-05-14 23:26:12|
|Maintainer||Usue Mori <firstname.lastname@example.org>|
|License||GPL (>= 2)|
ACFDistance: Autocorrelation-based Dissimilarity
ARLPCCepsDistance: Dissimilarity Based on LPC Cepstral Coefficients
ARMahDistance: Model-based Dissimilarity Proposed by Maharaj (1996, 2000)
ARPicDistance: Model-based Dissimilarity Measure Proposed by Piccolo (1990)
CCorDistance: Cross-correlation based distance.
CDMDistance: Compression-based Dissimilarity measure
CIDDistance: Complexity-Invariant Distance Measure For Time Series
CorDistance: Dissimilarities based on Pearson's correlation
CortDistance: Dissimilarity Index Combining Temporal Correlation and Raw...
DissimDistance: The Dissim distance is calculated.
DTWDistance: Dynamic Time Warping distance.
EDRDistance: Edit Distance for Real Sequences (EDR).
ERPDistance: Edit Distance with Real Penalty (ERP).
EuclideanDistance: Euclidean distance.
example.database: Example databases.
example.database2: Example synthetic database with series belonging to different...
example.database3: Example synthetic database with series belonging to different...
example.series: Example series.
FourierDistance: Fourier Coefficient based distance.
FrechetDistance: Frechet distance
InfNormDistance: The infinite norm distance.
IntPerDistance: Integrated Periodogram based dissimilarity
KMedoids: K medoids clustering for a time series database using the...
LBKeoghDistance: LB_Keogh for DTW.
LCSSDistance: Longest Common Subsequence distance for Real Sequences.
LPDistance: Lp distances.
ManhattanDistance: Manhattan distance.
MindistSaxDistance: Symbolic Aggregate Aproximation based dissimilarity
MinkowskiDistance: Minkowski distance.
NCDDistance: Normalized Compression based distance
OneNN: 1NN classification for a pair of train/test time series...
PACFDistance: Partial Autocorrelation-based Dissimilarity
PDCDistance: Permutation Distribution Distance
PerDistance: Periodogram based dissimilarity
PredDistance: Dissimilarity Measure Based on Nonparametric Forecasts
SpecGLKDistance: Dissimilarity based on the Generalized Likelihood Ratio Test
SpecISDDistance: Dissimilarity Based on the Integrated Squared Difference...
SpecLLRDistance: General Spectral Dissimilarity Measure Using Local-Linear...
STSDistance: Short time series distance (STS).
TquestDistance: Tquest distance.
TSDatabaseDistances: TSdist distance matrix computation.
TSDistances: TSdist distance computation.
TSdist-package: Distance Measures for Time Series in R.
WavDistance: Dissimilarity for Time Series Based on Wavelet Feature...