Model card
PAC.
Yan et al.clustering
Probability Aggregation Clustering. Centerless clustering algorithm designed for deep clustering scenarios. From DPAC paper (ECCV 2024).
§ 01 · Benchmarks
Every benchmark PAC has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | pendigits | Computer Vision · Optical Character Recognition | accuracy | 78.0% | #6 | 2024-07-07 | source ↗ |
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Papers
1 paper with results for PAC.
- 2024-07-07· Computer Vision· 1 result
Deep Online Probability Aggregation Clustering
Yuxuan Yan, Na Lu, Ruofan Yan
§ 05 · Sources & freshness
Where these numbers come from.
unknown
1
result
1 of 1 rows marked verified.