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Clustering on Imagenette

99.8Accuracy (%)H-RCut
-2.9592823.7186150.396577.07439Nov 4, 2025

Evaluation results

MethodLinks
H-RCutK=10, Q=0.98, Embeddings=CLIP ViT-L/142025.1199.8——————————3.50.0899.3
H-NCutK=10, Q=0.98, Embeddings=CLIP ViT-L/142025.1199.8——————————3.40.0899.3
Spectral ClusteringEmbedding=DINOv2, Graph type=50-NN RBF, K=10, Q=0.992025.1199.8——————————2.40.0599.3
Spectral ClusteringK=10, Q=0.98, Embeddings=CLIP ViT-L/142025.1199.7——————————3.20.0799
PRCut*K=10, Q=0.98, Embeddings=CLIP ViT-L/142025.1199.7——————————3.60.0899.2
PRCut*Embedding=DINOv2, Graph type=50-NN RBF, K=10, Q=0.992025.1199.2——————————3.50.0898.1
H-RCutEmbedding=DINOv2, Graph type=50-NN RBF, K=10, Q=0.992025.1199.2——————————3.30.0798.3
H-NCutEmbedding=DINOv2, Graph type=50-NN RBF, K=10, Q=0.992025.1199.2——————————3.20.0798.3
Spectral ClusteringEmbedding Model=DINOv3-B, K=10, Q=0.972025.110.994——0.983———————8.80.2—
PRCut*Embedding Model=DINOv3-B, K=10, Q=0.972025.110.993——0.981———————9.40.22—
H-RCutEmbedding Model=DINOv3-B, K=10, Q=0.972025.110.993——0.981———————9.60.22—
H-NCutEmbedding Model=DINOv3-B, K=10, Q=0.972025.110.993——0.981———————9.60.22—
Finsler t-SNEEmbedding=Finsler t-SNE, Clustering Algorithm=kMeans2026.03—0.9430.9510.9430.9430.9430.9430.9550.6680.46519,651———
t-SNEEmbedding=t-SNE, Clustering Algorithm=kMeans2026.03—0.9390.9460.9390.9390.9390.9390.9510.610.53622,051———