Spenc
Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.
Install / Use
/learn @ljwolf/SpencREADME
Spatially-Encouraged Spectral Clustering
This repository provides the code & walks through how to use spatially-encouraged spectral clustering. Refer to the example notebook for more information on usage.
Usage reqiures scikit-learn and scipy. The package is released on pypi as spenc, so installation is available using:
pip install spenc
Citation
If you would like to reference this software, please cite its zenodo listing:
Wolf, Levi John. 2018. “Ljwolf/spenc: GISRUK”. Zenodo. doi:10.5281/zenodo.1219904.
And, for the paper defining the algorithm:
Wolf, Levi John. (In Review) "Spatially-Encouraged Spectral Clustering." International Journal of Geographic Information Science.
with a full preprint available at the Open Science Framework.
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