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K-Means based Cluster algorithm where I have clustered the data based on (Class distribution: 357 benign, 212 malignant) in the best possible k
A highly modular simulation framework of Monte-Carlo methods, based on the Ising Model in a 2D spin lattice. Producing results for the macroscopic properties of the system via simulation and bootstrapping. A few commonly used algorithms are built-in. Model generalizations and additional algorithms can be implemented.
Simple K-Means algorithm implementation in vanilla Python for educational purposes