Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining
Project description
MAT-similarity: Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]
[Publication] [citation.bib] [GitHub] [PyPi]
The present application offers a tool, to support the user in the data mining task of multiple aspect trajectories, specifically for measuring similarity of its complex data. It integrates into a unique platform the fragmented approaches available for multiple aspects trajectories and in general for multidimensional sequence classification into a unique web-based and python library system.
Created on Apr, 2024 Copyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)
Main Modules
Installation
Install directly from PyPi repository, or, download from github. (python >= 3.7 required)
pip install matsimilarity
Citing
If you use matsimilarity
please cite the following paper:
Tarlis Tortelli Portela; Jonata Tyska Carvalho; Vania Bogorny. HiPerMovelets: high-performance movelet extraction for trajectory classification, International Journal of Geographical Information Science, 2022. DOI: 10.1080/13658816.2021.2018593.
@article{Portela2022,
author = {Tarlis Tortelli Portela and Jonata Tyska Carvalho and Vania Bogorny},
title = {HiPerMovelets: high-performance movelet extraction for trajectory classification},
journal = {International Journal of Geographical Information Science},
volume = {0},
number = {0},
pages = {1-25},
year = {2022},
publisher = {Taylor & Francis},
doi = {10.1080/13658816.2021.2018593},
URL = {https://doi.org/10.1080/13658816.2021.2018593}
}
Collaborate with us
Any contribution is welcome. This is an active project and if you would like to include your algorithm in matsimilarity
, feel free to fork the project, open an issue and contact us.
Feel free to contribute in any form, such as scientific publications referencing matsimilarity
, teaching material and workshop videos.
Related packages
This package is part of MAT-Tools Framework for Multiple Aspect Trajectory Data Mining, check the guide project:
- mat-tools: Reference guide for MAT-Tools Framework repositories
And others:
Change Log
This is a package under construction, see CHANGELOG.md
Project details
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