Programmable Clustering
Summary: Introduce "programmable clustering": users specify acceptable clusterings via first-order logic formulas rather than an explicit objective. Show the general problem can be NP-hard but identify three FO specifications that admit efficient algorithms and give solutions. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Sreenivas Gollapudi
- 2. Ravi Kumar
- 3. D. Sivakumar
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,262 | Approximation Algorithms for Co-Clustering | 2008 | PODS | 4.3648789e-05 |
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