E-means: A 10x Faster k-Means Algorithm with Equivalent Clustering Accuracy

E-means is a novel k-means algorithm that achieves a 10x speedup in training time while maintaining equivalent clustering accuracy compared to traditional methods. It employs exponential moving averages and automated hyperparameter tuning to enhance efficiency and stability.

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