https://github.com/ljwolf/spenc

Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.
https://github.com/ljwolf/spenc

cluster clustering geographic-data-science geography python python3 spatial spatial-analysis spatial-data-science unsupervised-learning

Last synced: about 1 year ago
JSON representation

Spatially-Encouraged Spectral Clustering, a method of discovering clusters/deriving labels for spatially-referenced data with attribute/labels attached.

• Host: GitHub
• URL: https://github.com/ljwolf/spenc
• Owner: ljwolf
• License: bsd-3-clause
• Created: 2018-04-17T22:46:42.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2020-06-17T19:58:46.000Z (almost 6 years ago)
• Last Synced: 2025-04-02T04:58:49.594Z (about 1 year ago)
• Topics: cluster, clustering, geographic-data-science, geography, python, python3, spatial, spatial-analysis, spatial-data-science, unsupervised-learning
• Language: Jupyter Notebook
• Homepage: https://osf.io/jh483/
• Size: 353 KB
• Stars: 11
• Watchers: 3
• Forks: 2
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: license.txt

Awesome Lists containing this project

README

          
# Spatially-Encouraged Spectral Clustering

[![Build Status](https://travis-ci.org/ljwolf/spenc.svg?branch=master)](https://travis-ci.org/ljwolf/spenc)

[![DOI](https://zenodo.org/badge/129973633.svg)](https://zenodo.org/badge/latestdoi/129973633)

This repository provides the code & walks through how to use spatially-encouraged spectral clustering. Refer to the [example notebook](https://github.com/ljwolf/spenc/blob/master/example.ipynb) 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](https://osf.io/yzt2p).