HBC: halo-based clustering using local comparative density
version ==1.0
Authors: Le Li ([email protected])and Fei Wang([email protected])
kneed==0.8.5
matplotlib==3.7.5
numpy==1.24.3
pandas==2.0.3
scikit-learn==1.3.2
scipy==1.10.1
seaborn==0.13.2
n_neighbors: number of neighbors in k-NN
density_threshold_pct: parameter which ranges between 0 and 100 for determining a relative density threshold for halo detection. density_threshold_pct = 50 is recommended if prior knowledge is absent.