Skip to main content

Spatial-temporal OPTICS

Project 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.

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

st_optics-0.1.1.tar.gz (158.5 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page