Model card
DnC-SC.
UnknownunknownUnknown paramsUnknown
Imported from Papers With Code
§ 01 · Benchmarks
Every benchmark DnC-SC has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | pendigits | Computer Vision · Optical Character Recognition | accuracy | 82.3% | #1 | 2021-05-02 | source ↗ |
| 02 | pendigits | Computer Vision · Optical Character Recognition | nmi | 82.9% | #1 | 2021-05-02 | source ↗ |
| 03 | pendigits | Computer Vision · Optical Character Recognition | runtime-s | 0.6% | #6 | 2021-05-02 | 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 DnC-SC.
- 2021-05-02· Computer Vision· 3 results
Divide-and-conquer based Large-Scale Spectral Clustering
§ 04 · Related models
Other Unknown models scored on Codesota.
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WordSup (VGG16-synth-coco)
Unknown params · 3 results
§ 05 · Sources & freshness
Where these numbers come from.
papers-with-code
3
results
3 of 3 rows marked verified.