This release is a pre-release and may not be stable for production use.
MAT-clustering: Clustering Methods for Multiple Aspect Trajectory Data Mining [MAT-Tools Framework]
[Publication] [Bibtex] [GitHub] [PyPi]
The present application offers a tool, to support the user in the data mining task of multiple aspect trajectories, specifically for clustering 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
-
Core Classes:
- TrajectoryClustering - Base class for trajectory clustering
- HSTrajectoryClustering - Hyperparameter search model for trajectory clustering
- SimilarityClustering - Similarity-based clustering for trajectory data
-
Similarity-based clustering methods:
- TSAgglomerative - MAT Hierarchical Agglomerative Clustering
- TSBirch - MAT BIRCH Clustering
- TSDBSCAN - MAT DBSCAN Clustering
- TSKMeans - MAT K-Means Clustering
- TSKMedoids - MAT K-Medoids Clustering
- TSpectral - MAT Spectral Clustering
-
CoClustering clustering methods: Under Development
-
Hierarchical clustering methods: Under Development
Installation
Install directly from PyPi repository, or, download from github. (python >= 3.7 required)
pip install mat-clustering
Citing
If you use mat-clustering please cite the following paper:
- Portela, T. T.; Machado, V. L.; Renso, C. Unified Approach to Trajectory Data Mining and Multi-Aspect Trajectory Analysis with MAT-Tools Framework. In: SIMPÓSIO BRASILEIRO DE BANCO DE DADOS (SBBD), 39. , 2024, Florianópolis/SC. [Bibtex]
Collaborate with us
Any contribution is welcome. This is an active project and if you would like to include your algorithm in matclustering, feel free to fork the project, open an issue and contact us.
Feel free to contribute in any form, such as scientific publications referencing matclustering, 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
Change Log
This is a package under construction, see CHANGELOG.md
Metadata
Release files for mat-clustering 0.1rc1
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| File | Size | Uploaded | Provenance | |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mat_clustering-0.1rc1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.2 MB
Release files / mat_clustering-0.1rc1.tar.gz
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