Metadata-Version: 2.1
Name: st-dbscan
Version: 0.1.4
Summary: Spatial-temporal DBSCAN
Home-page: https://github.com/eren-ck/st_dbscan
Author: Eren Cakmak
Author-email: 22754816+eren-ck@users.noreply.github.com
License: License :: OSI Approved :: MIT License
Description: # ST-DBSCAN
        
        **Simple and effective method for spatial-temporal clustering**
        
        *st_dbscan* is an open-source software package for the spatial-temporal clustering of movement data:
        
        - Implemnted using `numpy` and `sklearn`
        - Scales to memory - using chuncking see `st_dbscan.fit_frame_split`
        
        ## Installation
        The easiest way to install *st_dbscan* is by using `pip` :
        
            pip install st-dbscan
        
        ## How to use
        
        ```python
        from st_dbscan import ST_DBSCAN
        
        st_dbscan = ST_DBSCAN(eps1 = 0.05, eps2 = 10, min_samples = 5)
        st_dbscan.fit(data)
        
        ```
        
        - __Demo Notebook:__ the following noteboook shows a demo of common features in this package -
        [see Jupyter Notebook](/demo/demo.ipynb)
        
        ## Description
        
        A package to perform the ST_DBSCAN clustering. For more details please see the following papers:
        
        ```
        * Ester, M., H. P. Kriegel, J. Sander, and X. Xu, "A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise". In: Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, OR, AAAI Press, pp. 226-231. 1996
        * Birant, Derya, and Alp Kut. "ST-DBSCAN: An algorithm for clustering spatial–temporal data." Data & Knowledge Engineering 60.1 (2007): 208-221.
        * Peca, I., Fuchs, G., Vrotsou, K., Andrienko, N. V., & Andrienko, G. L. (2012). Scalable Cluster Analysis of Spatial Events. In EuroVA@ EuroVis.
        ```
        
        ## License
        Released under MIT License. See the [LICENSE](LICENSE) file for details.
        The package was developed by Eren Cakmak from the [Data Analysis and Visualization Group](https://www.vis.uni-konstanz.de/) and the [Department of Collective Behaviour](http://collectivebehaviour.com) at the University Konstanz funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – EXC 2117 – 422037984“
Platform: any
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Description-Content-Type: text/markdown; charset=UTF-8
Provides-Extra: testing
