# Clustering on AP\_Ovary\_Kidney

Source: [Clustering on AP\_Ovary\_Kidney](<https://www.sota2.com/research/sota/clustering-on-ap_ovary_kidney>)

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

Data updated: 2026-04-23T07:27:29.204Z

Evaluation of Clustering performance on the AP\_Ovary\_Kidney dataset, measured using Adjusted Rand Index (ARI), Fowlkes-Mallows Index (FM), and Variance of Mutual Information (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) | AP\_Ovary\_Kidney |
| 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-ap_ovary_kidney.md?metric=ARI>): Higher is better; unit: PERCENT.

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

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

## Recorded results

| Method | ARI | Result date | Report paper |
| --- | --- | --- | --- |
| GTSA-PCA-W | 44.4 | Not recorded | 69e85bd17d0172140ec810f0 |
| UMAP | 42.94 | Not recorded | 69e85bd17d0172140ec810f0 |
| GTSA-PCA-W | 0.4891 | Not recorded | 69e85bd17d0172140ec810f0 |
| UMAP | -0.0187 | Not recorded | 69e85bd17d0172140ec810f0 |

### GTSA-PCA-W

ARI: 44.4. Result ID: 69e9c9c347f34ce924d08fd2.

[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: 42.94. Result ID: 69e9c9c347f34ce924d08fd1.

[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: 0.4891. Result ID: 69e9c9c347f34ce924d0903e.

[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: -0.0187. Result ID: 69e9c9c347f34ce924d0903d.

[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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