Learn R Programming
⚠️There's a newer version (3.7.1) of this package.Take me there.

TSdist (version 1.1)

Distance Measures for Time Series data.

Description

This package provides a set of commonly used distance measures for time series data. The application of these distance measures is useful to perform clustering, classification or other data mining tasks.

Copy Link

Version

Install

install.packages('TSdist')

Monthly Downloads

305

Version

1.1

License

GPL (>= 2)

Maintainer

Usue Mori

Last Published

May 28th, 2014

Functions in TSdist (1.1)

tquestDistance

Tquest distance.
dissimapproxDistance

The approximated Dissim distance is calculated.
correlationDistance

Pearson correlation based distance.
tsDistances

TSdist distance computation.
minkowskiDistance

Minkowski distance.
infiniteNormDistance

The infinite norm distance.
dtwDistance

Dynamic Time Warping distance.
TSdist-package

Distance Measures for Time Series in R.
fourierDistance

Fourier Coefficient based distance.
erpDistance

Edit Distance with Real Penalty (ERP).
lpDistance

Lp distances.
edrDistance

Edit Distance for Real Sequences (EDR).
example.database

Example databases.
dissimDistance

The Dissim distance is calculated.
tsDatabaseDistances

TSdist distance matrix computation.
lcssDistance

Longest Common Subsequence distance for Real Sequences.
crossCorrelationDistance

Cross-correlation based distance.
euclideanDistance

Euclidean distance.
example.series

Example series.
manhattanDistance

Manhattan distance.
stsDistance

Short time series distance (STS).
lbKeoghDistance

LB_Keogh for DTW.