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scikit-learn uses Lloyd's algorithm with k-means++ initialization and caching + the triangle inequality. Based on Wikipedia, Hartigan-Wong's method is more sophisticated and more computationally expensive. Will look more into this.
Add k-means[1] clustering to doddle-model.
[1] https://en.wikipedia.org/wiki/K-means_clustering
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