Metadata-Version: 2.1
Name: st_optics
Version: 0.1.1
Summary: Spatial-temporal OPTICS
Home-page: https://github.com/eren-ck/st_optics
Author: Eren Cakmak
Author-email: 22754816+eren-ck@users.noreply.github.com
License: License :: OSI Approved :: MIT License
Description: # ST-OPTICS
        
        **Simple and effective tool for spatial-temporal clustering**
        
        *st_optics* is an open-source software package for the spatial-temporal clustering of movement data:
        
        - Implemnted using `numpy` and `sklearn`
        - Enables to also scale to memory - with splitting the data into frames
        - __Usage:__ can view a demo of common features in this
        [this Jupyter Notebook](/demo/demo.ipynb).
        
        ## Installation
        The easiest way to install *st_optics* is by using `pip` :
        
            pip install st_optics
        
        ## How to use
        
        ```python
        from st_optics import ST_OPTICS
        
        st_optics = ST_OPTICS(xi = 0.4, eps2 = 10, min_samples = 5)
        st_optics.fit(data)
        ```
        
        ## Description
        
        A package to perform the ST OPTICS clustering. For more details please see the following papers:
        
        * Ankerst, M., Breunig, M. M., Kriegel, H. P., & Sander, J. (1999). OPTICS: ordering points to identify the clustering structure. ACM Sigmod record, 28(2), 49-60.
        
        ## License
        This 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 ExcellenceStrategy – EXC 2117 – 422037984“
        
        Released under MIT License. See the [LICENSE](LICENSE) file for details.
        
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
