# Clustering on threeOf9

Source: [Clustering on threeOf9](<https://www.sota2.com/research/sota/clustering-on-threeof9>)

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

Data updated: 2026-04-23T07:27:29.528Z

Evaluation of Clustering performance on the threeOf9 dataset, reporting metrics such as Adjusted Rand Index (ARI), Fowlkes-Mallows index (FM), and Variance of Means (VM).

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) | threeOf9 |
| Metric | ARI |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 4 of 4 |
| 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-threeof9.md?metric=ARI>): Higher is better; unit: PERCENT.

- [FM](<https://www.sota2.com/research/sota/clustering-on-threeof9.md?metric=FM>): Higher is better; unit: PERCENT.

- [VM](<https://www.sota2.com/research/sota/clustering-on-threeof9.md?metric=VM>): Lower is better; unit: SCALAR.

## Recorded results

| Method | ARI | Result date | Report paper |
| --- | --- | --- | --- |
| GTSA-PCA-W | 33.53 | Not recorded | 69e85bd17d0172140ec810f0 |
| UMAP | 5.72 | Not recorded | 69e85bd17d0172140ec810f0 |
| GTSA-PCA-W | 0.0712 | Not recorded | 69e85bd17d0172140ec810f0 |
| UMAP | 0.0141 | Not recorded | 69e85bd17d0172140ec810f0 |

### GTSA-PCA-W

ARI: 33.53. Result ID: 69e9c9c347f34ce924d08fee.

[Reporting paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

Recorded evaluation configuration: {"Clustering Method":"Agglomerative","Dimensionality":"2D","Distance Metric":"Wasserstein"}. This record does not assert independent reproduction.

### UMAP

ARI: 5.72. Result ID: 69e9c9c347f34ce924d08fed.

[Reporting paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68501e209131cea1b5d2.md>)

[Implementation](<https://github.com/lmcinnes/umap>)

Recorded evaluation configuration: {"Clustering Method":"Agglomerative","Dimensionality":"2D"}. This record does not assert independent reproduction.

### GTSA-PCA-W

ARI: 0.0712. Result ID: 69e9c9c347f34ce924d09056.

[Reporting paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

Recorded evaluation configuration: {"Clustering Algorithm":"HDBSCAN","Embedding Dimension":"2"}. This record does not assert independent reproduction.

### UMAP

ARI: 0.0141. Result ID: 69e9c9c347f34ce924d09055.

[Reporting paper](<https://www.sota2.com/research/paper/69e85bd17d0172140ec810f0.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa68501e209131cea1b5d2.md>)

[Implementation](<https://github.com/lmcinnes/umap>)

Recorded evaluation configuration: {"Clustering Algorithm":"HDBSCAN","Embedding Dimension":"2"}. This record does not assert independent reproduction.

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