AutoPart-ML-Project

Implementation of the paper - AutoPart: Parameter-Free Graph Partitioning and Outlier Detection as part Machine Learning (CS353) Course Project. Implementation includes - Automatic Graph Partitioning, Outlier Detection and Cluster Distance.

Team Members

Name		Name	Last commit message	Last commit date
Latest commit History 20 Commits
Datasets		Datasets
.gitignore		.gitignore
Initial Matrix.png		Initial Matrix.png
Matrix after clustering.png		Matrix after clustering.png
Matrix removing outliers.png		Matrix removing outliers.png
README.md		README.md
Without_noise.ipynb		Without_noise.ipynb
main.py		main.py
metrics.py		metrics.py
noise.ipynb		noise.ipynb
with_noise.ipynb		with_noise.ipynb