Package: SimilarityMeasures 1.4
SimilarityMeasures: Trajectory Similarity Measures
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.
Authors:
SimilarityMeasures_1.4.tar.gz
SimilarityMeasures_1.4.zip(r-4.5)SimilarityMeasures_1.4.zip(r-4.4)SimilarityMeasures_1.4.zip(r-4.3)
SimilarityMeasures_1.4.tgz(r-4.4-any)SimilarityMeasures_1.4.tgz(r-4.3-any)
SimilarityMeasures_1.4.tar.gz(r-4.5-noble)SimilarityMeasures_1.4.tar.gz(r-4.4-noble)
SimilarityMeasures_1.4.tgz(r-4.4-emscripten)SimilarityMeasures_1.4.tgz(r-4.3-emscripten)
SimilarityMeasures.pdf |SimilarityMeasures.html✨
SimilarityMeasures/json (API)
| # Install 'SimilarityMeasures' in R: |
| install.packages('SimilarityMeasures', repos = c('https://awesometothemax.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 10 years agofrom:6410737610. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 04 2024 |
| R-4.5-win | OK | Sep 04 2024 |
| R-4.5-linux | OK | Sep 04 2024 |
| R-4.4-win | OK | Sep 04 2024 |
| R-4.4-mac | OK | Sep 04 2024 |
| R-4.3-win | OK | Sep 04 2024 |
| R-4.3-mac | OK | Sep 04 2024 |
Exports:AveTranslateDistanceCheckDistanceSqDTWEditDistFrechetLCSSLCSSCalcLCSSRatioLCSSRatioCalcLCSSTranslationStartEndTranslateTrajCheck
Dependencies:
