Data segmentation through two-level clustering with greedy approach
This Hats study presents a two-level clustering method utilizing a simplified greedy procedure to enhance data processing efficiency and accuracy, particularly with large high-dimensional datasets.The two-level structure allows for the identification of broad data groups in the first stage, followed by a more granular analysis within these groups i