Clustering on ABIDE resting-state functional MRI (rs-fMRI) benchmark leaderboard · SOTA2 Research

Clustering on ABIDE resting-state functional MRI (rs-fMRI)

0.9932Silhouette ScoreMetric Learning

Evaluation Results

Method	Links
Metric Learning2025.11		0.9932	0.0186	31,912.9395	1.9997	0.8389	0.9155	0.3002	0.2372
UMAP + K-Means2025.11		0.6194	0.5205	311.3453	0.996	0.9007	0.8758	-0.0008	0.0002
t-SNE + K-Means2025.11		0.5602	0.6062	228.7278	0.9919	0.9007	0.901	-0.0011	0
PCA + K-Means2025.11		0.2747	1.2721	53.5725	1.0017	0.9095	0.9078	-0.0012	0.0012
DEC2025.11		0.1166	2.4894	12.0923	1.1406	0.5858	0.589	0.5072	0.4091
VAE2025.11		0.0213	5.9506	8.9761	1.0226	0.4978	0.5587	0.0145	0.0129
CP2025.11		0.007	7.109	13.8142	1.0035	0.8519	0.86	0.007	0.017
Tucker2025.11		0.0061	9.175	8.8522	1.005	0.8969	0.8698	0.0016	0.0012
t-SVD2025.11		0.0061	9.175	8.8522	1.005	0.8969	0.8698	0.0016	0.0012
Tucker2025.11		0.0053	11.7691	5.9515	1.0048	0.9456	0.8597	0.0014	0.0012
t-SVD2025.11		0.0053	11.7691	5.9515	1.0048	0.9456	0.8597	0.0014	0.0012
Tucker2025.11		0.0046	11.173	6.4451	1.004	0.9245	0.8825	0.0047	0.0033
t-SVD2025.11		0.0046	11.173	6.4451	1.004	0.9245	0.8825	0.0047	0.0033
CP2025.11		0.0025	12.2807	4.0502	1.0007	0.91	0.9007	0.0005	0.0005
CP2025.11		0.0022	17.8678	2.3617	1.0024	0.9144	0.8885	-0.0012	0.0006