# Clustering on ImageNet Mini

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

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

Data updated: 2026-02-26T05:23:41.187Z

Evaluation of unsupervised clustering performance on the ImageNet Mini dataset, measured using 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 Mini |
| Metric | ARI |
| Unit | SCALAR |
| Direction | Higher is better |
| Results loaded | 3 of 3 |
| 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

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

## Recorded results

| Method | ARI | Result date | Report paper |
| --- | --- | --- | --- |
| GMM | 0.44 | Not recorded | 68fa75781e209131cea682b6 |
| BIRCH | 0.17 | Not recorded | 68fa75781e209131cea682b6 |
| K-MEANS | 0 | Not recorded | 68fa75781e209131cea682b6 |

### GMM

ARI: 0.44. Result ID: 6993c8513a6c314849187bf7.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Implementation](<https://github.com/FutureComputing4AI/Hadamard-derived-Linear-Binding>)

Recorded evaluation configuration: {"VSA Representation":"HRR","Data Source":"Main Network Inputs"}. This record does not assert independent reproduction.

### BIRCH

ARI: 0.17. Result ID: 6993c8513a6c314849187bf8.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Implementation](<https://github.com/FutureComputing4AI/Hadamard-derived-Linear-Binding>)

Recorded evaluation configuration: {"VSA Representation":"VTB","Data Source":"Main Network Outputs"}. This record does not assert independent reproduction.

### K-MEANS

ARI: 0. Result ID: 6993c8513a6c314849187bf9.

[Reporting paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa75781e209131cea682b6.md>)

[Implementation](<https://github.com/FutureComputing4AI/Hadamard-derived-Linear-Binding>)

Recorded evaluation configuration: {"VSA Representation":"HLB","Data Source":"Main Network Outputs"}. This record does not assert independent reproduction.

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