Implemented K-Means and BFR algorithm from scratch for over 3 million data points. Chose initial points for K-Means clustering implementation using k-means++ technique. Achieved a Normalized Mutual Information (NMI) score of 0.999 on clustering 10 test datasets.
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krishna555/KMeansBFRClusteringAlgorithm
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