Comparison of the data clustering process between existing k-means and e-means. e-means updates the cluster centers each time it processes part of the data, allowing it to reach results more quickly. (Photo=arXiv) Meta has open-sourced 'e-means', an algorithm that operates up to 45 times faster on GPU than existing data clustering algorithms. According to the explanation, this can significantly reduce the computational time and cost required to group large