# MAT-similarity: Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining \[MAT-Tools Framework\]
---
\[[Publication](#)\] \[[citation.bib](citation.bib)\] \[[GitHub](https://github.com/mat-analysis/mat-similarity)\] \[[PyPi](https://pypi.org/project/mat-similarity/)\]
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)
```bash
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](citation.bib):
```bash
@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](https://github.com/mat-analysis/mat-tools)**: Reference guide for MAT-Tools Framework repositories
And others:
### Change Log
This is a package under construction, see [CHANGELOG.md](./CHANGELOG.md)
Raw data
{
"_id": null,
"home_page": "https://github.com/mat-analysis/mat-summarization",
"name": "mat-similarity",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.10",
"maintainer_email": "Tarlis Tortelli Portela <tarlis@tarlis.com.br>, Vanessa Lago Machado <vanessalagomachado@gmail.com>",
"keywords": "data-science, machine-learning, data-mining, trajectory, multiple-trajectory, similarity",
"author": "Vanessa Lago Machado",
"author_email": "Vanessa Lago Machado <vanessalagomachado@gmail.com>, Tarlis Tortelli Portela <tarlis@tarlis.com.br>",
"download_url": "https://files.pythonhosted.org/packages/db/28/4b00f988924a002ea9760040acc96f8e8a09bc4350000c946754645d4c2b/mat_similarity-0.1b0.tar.gz",
"platform": null,
"description": "# MAT-similarity: Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining \\[MAT-Tools Framework\\]\n---\n\n\\[[Publication](#)\\] \\[[citation.bib](citation.bib)\\] \\[[GitHub](https://github.com/mat-analysis/mat-similarity)\\] \\[[PyPi](https://pypi.org/project/mat-similarity/)\\]\n\n\nThe 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. \n\nCreated on Apr, 2024\nCopyright (C) 2024, License GPL Version 3 or superior (see LICENSE file)\n\n### Main Modules\n\n\n\n### Installation\n\nInstall directly from PyPi repository, or, download from github. (python >= 3.7 required)\n\n```bash\n pip install matsimilarity\n```\n\n### Citing\n\nIf you use `matsimilarity` please cite the following paper:\n\n 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.\n\n[Bibtex](citation.bib):\n\n```bash\n@article{Portela2022,\n author = {Tarlis Tortelli Portela and Jonata Tyska Carvalho and Vania Bogorny},\n title = {HiPerMovelets: high-performance movelet extraction for trajectory classification},\n journal = {International Journal of Geographical Information Science},\n volume = {0},\n number = {0},\n pages = {1-25},\n year = {2022},\n publisher = {Taylor & Francis},\n doi = {10.1080/13658816.2021.2018593},\n URL = {https://doi.org/10.1080/13658816.2021.2018593}\n}\n```\n\n### Collaborate with us\n\nAny 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.\n\nFeel free to contribute in any form, such as scientific publications referencing `matsimilarity`, teaching material and workshop videos.\n\n### Related packages\n\nThis package is part of _MAT-Tools Framework_ for Multiple Aspect Trajectory Data Mining, check the guide project:\n\n- **[mat-tools](https://github.com/mat-analysis/mat-tools)**: Reference guide for MAT-Tools Framework repositories\n\nAnd others:\n\n\n\n### Change Log\n\nThis is a package under construction, see [CHANGELOG.md](./CHANGELOG.md)\n",
"bugtrack_url": null,
"license": "GPL Version 3 or superior (see LICENSE file)",
"summary": "Similarity Methods and Functions for Multiple Aspect Trajectory Data Mining",
"version": "0.1b0",
"project_urls": {
"Bug Tracker": "https://github.com/mat-analysis/mat-similarity/issues",
"Documentation": "https://github.com/mat-analysis/mat-similarity/blob/main/README.md",
"Download": "https://pypi.org/project/mat-similarity/#files",
"Homepage": "https://github.com/mat-analysis/mat-similarity",
"Repository": "https://github.com/mat-analysis/mat-similarity"
},
"split_keywords": [
"data-science",
" machine-learning",
" data-mining",
" trajectory",
" multiple-trajectory",
" similarity"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "43888a8f4dfcb01df3da5a0cd0a425f2316fcbda000431047c7360443865e524",
"md5": "dd4d4e2b62ae4a2cc3f74efff671f409",
"sha256": "e83d155a631f8c709df3d30b8c03e83ba5fbe52145f60c27216be54697a096c9"
},
"downloads": -1,
"filename": "mat_similarity-0.1b0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "dd4d4e2b62ae4a2cc3f74efff671f409",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.10",
"size": 28957,
"upload_time": "2024-04-12T17:23:04",
"upload_time_iso_8601": "2024-04-12T17:23:04.344587Z",
"url": "https://files.pythonhosted.org/packages/43/88/8a8f4dfcb01df3da5a0cd0a425f2316fcbda000431047c7360443865e524/mat_similarity-0.1b0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "db284b00f988924a002ea9760040acc96f8e8a09bc4350000c946754645d4c2b",
"md5": "acce92e33cefe7aeb436f42097c8a7c4",
"sha256": "52df95c0b2261caa1edec208179adb42972f5d821b5fae0c3c6ef1be0442f1a6"
},
"downloads": -1,
"filename": "mat_similarity-0.1b0.tar.gz",
"has_sig": false,
"md5_digest": "acce92e33cefe7aeb436f42097c8a7c4",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.10",
"size": 30164,
"upload_time": "2024-04-12T17:23:14",
"upload_time_iso_8601": "2024-04-12T17:23:14.024062Z",
"url": "https://files.pythonhosted.org/packages/db/28/4b00f988924a002ea9760040acc96f8e8a09bc4350000c946754645d4c2b/mat_similarity-0.1b0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-04-12 17:23:14",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "mat-analysis",
"github_project": "mat-summarization",
"github_not_found": true,
"lcname": "mat-similarity"
}