Clustering explanation based on multi-hyperrectangle
Tao Zeng, Caiming Zhong, Tiejun Pan · 2024
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Description
Grouping data into clusters is easy; explaining afterward why the groups make sense is the hard part, especially for odd shapes in many dimensions. Tao Zeng and co-authors propose describing each cluster with a handful of boxes in a 2025 paper. Boxes start small to cover a cluster, then merge step by step along a family tree until their shape hugs the cluster well.
A tightening pass then shrinks the boxes for precision. The tree structure finds the right number of boxes on its own and reveals how they relate. Tests against older explanation methods showed tighter, more accurate descriptions, which the authors offer for pattern work where people must defend the grouping.
Catalog record
| CREATOR | Tao Zeng, Caiming Zhong, Tiejun Pan |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 56 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |