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TSdist (version 1.0)

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.

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Version

Install

install.packages('TSdist')

Monthly Downloads

305

Version

1.0

License

GPL (>= 2)

Maintainer

Usue Mori

Last Published

May 13th, 2014

Functions in TSdist (1.0)

fourierDistance

Fourier Coefficient based distance.
minkowskiDistance

Minkowski distance.
dtwDistance

Dynamic Time Warping distance.
crossCorrelationDistance

Cross-correlation based distance.
example.database

Example databases.
tsDatabaseDistances

TSdist distance matrix computation.
edrDistance

Edit Distance for Real Sequences (EDR).
manhattanDistance

Manhattan distance.
correlationDistance

Pearson correlation based distance.
tquestDistance

Tquest distance.
example.series

Example series.
tsDistances

TSdist distance computation.
euclideanDistance

Euclidean distance.
lcssDistance

Longest Common Subsequence distance for Real Sequences.
dissimDistance

The Dissim distance is calculated.
lbKeoghDistance

LB_Keogh for DTW.
stsDistance

Short time series distance (STS).
TSdist-package

Distance Measures for Time Series in R.
dissimapproxDistance

The approximated Dissim distance is calculated.
infiniteNormDistance

The infinite norm distance.
erpDistance

Edit Distance with Real Penalty (ERP).
lpDistance

Lp distances.