Delaunay Triangulation Clustering - density-robust clustering with built-in outlier detection
Project description
DelTriC - Delaunay Triangulation Clustering
Density-robust clustering with built-in outlier detection.
Quick Start
from deltric import DelTriC
model = DelTriC()
labels = model.fit_predict(X)
# labels == -1 => outlier
# labels >= 0 => cluster id
Features
- No need to specify k
- Arbitrary cluster shapes
- Built-in outlier detection
- Auto-param mode
- scikit-learn compatible
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