ST-CLUSTERING

st_clustering is an open-source software package for spatial-temporal clustering:

Built on top of sklearn's clustering algorithms
Scales to memory using chuncking. See the st_fit_frame_split method

Installation

The easiest way to install st_clustering is by using pip :

pip install st_clustering

How to use

import st_clustering as stc

st_dbscan = stc.ST_DBSCAN(eps1 = 0.05, eps2 = 10, min_samples = 5)
st_dbscan.st_fit(data)

Demo Notebook: this Jupyter Notebook shows a demo of common features in this package.

Description

A package that implements a straightforward extension for various clustering algorithms to accomodate spatio-temporal data. Available algorithms are:

ST DBSCAN
ST Agglomerative
ST OPTICS
ST Spectral Clustering
ST Affinity Propagation
ST HDBSCAN

For more details please see original paper:

Cakmak, E., Plank, M., Calovi, D. S., Jordan, A., & Keim, D. (2021). Spatio-temporal clustering benchmark for collective animal behavior. In 1st ACM SIGSPATIAL International Workshop on Animal Movement Ecology and Human Mobility (HANIMOB’21).

License

Released under MIT License. See the LICENSE file for details.

Metadata

Release files for st-clustering 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for st-clustering 0.1.0
File	Size	Uploaded
st_clustering-0.1.0.tar.gz	451.4 kB	Mar 7, 2023	Details

Release files / st_clustering-0.1.0.tar.gz

Download URL	st_clustering-0.1.0.tar.gz
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