KBC Clustering
Kernel-Bounded Clustering: Achieving the Objective of Spectral Clustering without Eigendecomposition
Installation
pip install kbc-clustering
```python
from kbc import KBC
import numpy as np
X = np.random.rand(1000, 50)
model = KBC(k=5, tau=0.4, psi=64, random_state=42)
labels = model.fit_predict(X)
## Reference
@article{ZHANG2025104440,
title = {Kernel-Bounded Clustering: Achieving the Objective of Spectral Clustering without Eigendecomposition},
journal = {Artificial Intelligence},
pages = {104440},
year = {2025},
issn = {0004-3702},
doi = {https://doi.org/10.1016/j.artint.2025.104440},
url = {https://www.sciencedirect.com/science/article/pii/S0004370225001596},
author = {Hang Zhang and Kai Ming Ting and Ye Zhu},
1 maintainer
Metadata
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Release files for kbc-clustering 0.5.2
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