mat-similarity 0.1b0

Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining

MAT-similarity: Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]

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[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.

Bibtex:

@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