# Clustering on ImageNet-S

Source: [Clustering on ImageNet-S](<https://www.sota2.com/research/sota/clustering-on-imagenet-s>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-03-17T09:29:50.555Z

Evaluation of image clustering performance on the ImageNet-S dataset, measured using Normalized Mutual Information (NMI), Clustering Accuracy (ACC), and Adjusted Rand Index (ARI).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Clustering |
| Dataset (including any stated split) | ImageNet-S |
| Metric | NMI |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 5 of 5 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [NMI](<https://www.sota2.com/research/sota/clustering-on-imagenet-s.md?metric=NMI>): Higher is better; unit: PERCENT.

- [ACC](<https://www.sota2.com/research/sota/clustering-on-imagenet-s.md?metric=ACC>): Higher is better; unit: PERCENT.

- [ARI](<https://www.sota2.com/research/sota/clustering-on-imagenet-s.md?metric=ARI>): Higher is better; unit: PERCENT.

## Recorded results

| Method | NMI | Result date | Report paper |
| --- | --- | --- | --- |
| Neural Tangent Kernel Spectral Clustering | 72.7 | Not recorded | 698c0d53c97a0b3e3b5e1360 |
| TAC (KMeans) | 70.7 | Not recorded | 698c0d53c97a0b3e3b5e1360 |
| TAC (SC) | 70.1 | Not recorded | 698c0d53c97a0b3e3b5e1360 |
| GradNorm | 20.8 | Not recorded | 68fa7c531e209131cea8d903 |
| TAC | 17.8 | Not recorded | 68fa7c531e209131cea8d903 |

### Neural Tangent Kernel Spectral Clustering

NMI: 72.7. Result ID: 69971dd65698665ec46bf010.

[Reporting paper](<https://www.sota2.com/research/paper/698c0d53c97a0b3e3b5e1360.md>)

[Method origin paper](<https://www.sota2.com/research/paper/698c0d53c97a0b3e3b5e1360.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### TAC (KMeans)

NMI: 70.7. Result ID: 69971dd65698665ec46bf00e.

[Reporting paper](<https://www.sota2.com/research/paper/698c0d53c97a0b3e3b5e1360.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74291e209131cea601f8.md>)

[Implementation](<https://github.com/XLearning-SCU/2024-ICML-TAC>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### TAC (SC)

NMI: 70.1. Result ID: 69971dd65698665ec46bf00f.

[Reporting paper](<https://www.sota2.com/research/paper/698c0d53c97a0b3e3b5e1360.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74291e209131cea601f8.md>)

[Implementation](<https://github.com/XLearning-SCU/2024-ICML-TAC>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### GradNorm

NMI: 20.8. Result ID: 69b91efe47f34ce924a21057.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c531e209131cea8d903.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa7c531e209131cea8d903.md>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

### TAC

NMI: 17.8. Result ID: 69b91efe47f34ce924a21056.

[Reporting paper](<https://www.sota2.com/research/paper/68fa7c531e209131cea8d903.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa74291e209131cea601f8.md>)

[Implementation](<https://github.com/XLearning-SCU/2024-ICML-TAC>)

Recorded evaluation configuration: Not recorded. This record does not assert independent reproduction.

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