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.

Installation

The easiest way to install st_optics is by using pip :

pip install st_optics

How to use

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 and the Department of Collective Behaviour 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 file for details.