CS328 - Introduction to Data Science

Sampling Techniques for better performance of KMeans Algorithm We have implemented the following algorithms in a fairly successful manner:

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
Dataset		Dataset
__pycache__		__pycache__
.gitignore		.gitignore
Final_Sampling.ipynb		Final_Sampling.ipynb
Final_Sampling.py		Final_Sampling.py
Generic Runner.ipynb		Generic Runner.ipynb
KDD_RandomSampling_Coresets.ipynb		KDD_RandomSampling_Coresets.ipynb
README.md		README.md
RandomSampling_WithPlots.ipynb		RandomSampling_WithPlots.ipynb
Random_Sampling.ipynb		Random_Sampling.ipynb
Volume Sampling.ipynb		Volume Sampling.ipynb
levarage.py		levarage.py

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