This is the original implementation of the algorithm LDP-SC in the paper "Clustering based on local density peaks and graph cut" ( DOI ; Direct Link ).
Current environment:
- python == 3.9
- scipy == 1.7.2
- numpy == 1.20.3
- scikit-learn == 1.0.1
- networkx == 2.6.3
- main.py -- A demo of how to use the LDP-SC algorithm.
- main.ipynb -- Demos of loading some of the used datasets.
- evaluation.py
- compute_score() -- Get ARI, NMI, ACC metrics.
If you find this file useful in your research, please consider citing:
@article{long2022clustering,
title = {Clustering based on local density peaks and graph cut},
journal = {Information Sciences},
volume = {600},
pages = {263-286},
year = {2022}
}