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SimilarityMeasures (version 1.4)

Trajectory Similarity Measures

Description

Functions to run and assist four different similarity measures. The similarity measures included are: longest common subsequence (LCSS), Frechet distance, edit distance and dynamic time warping (DTW). Each of these similarity measures can be calculated from two n-dimensional trajectories, both in matrix form.

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Version

Install

install.packages('SimilarityMeasures')

Monthly Downloads

339

Version

1.4

License

GPL-3

Maintainer

Last Published

February 6th, 2015

Functions in SimilarityMeasures (1.4)

Loop Over and Test Trajectories With Different Translations

LCSSTranslation

Create a Translation Vector Using LCSS

Checks a Frechet Leash Distance

Run the Edit Distance Algorithm on Two Trajectories

Find the LCSS Ratio using Two Trajectories Allowing Translations

Find the LCSS Ratio using Two Trajectories Without Translations

Run the LCSS Algorithm on Two Trajectories Allowing Translations

SimilarityMeasures-package

Implements Several Similarity Measures and Useful Functions

Create an Average Point Translation Vector

Run the LCSS Algorithm on Two Trajectories Without Translations

Calculate the Dot Product Between Two Vectors

TranslationSubset

Calculate the Subset of Translations for LCSS

Calculate the Square Distance Between Two Points

Check if Two Points Lie Within some Distance in All Dimensions

Run the Frechet Calculation Algorithm on Two Trajectories

SinglePointCalc

Calculate Frechet Distance With a Single Point Trajectory

Run the Dynamic Time Warping Algorithm on Two Trajectories

Checking Two Trajectories are Matrices of N Dimensional Points

StartEndTranslate

Translate a Trajectory Based on Start and End Points