DAUD: A data driven algorithm to find discrete approximations of unknown continuous distributions

Today's article comes from the SoftwareX journal. The authors are Siddiqui et al., from Al Yamamah University, in Saudi Arabia. In this paper, they've developed a system that can help you run analysis on messy real-world datasets, even if those numbers are distributed like nothing you've seen before.

DOI: 10.1016/j.softx.2025.102281

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