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Clustering on Synthetic Dataset Setup 1.0 (test)

1AccuracyGRAB-MDM
0.76080.82290.8850.9471Feb 11, 2026
Updated 8mo ago

Evaluation results

MethodLinks
GRAB-MDMNoise Variance Triplet=(0.3, 0.1, 0.3), Intrinsic Dimension (d)=10, Sample Size (n)=200, Feature Dimensions (p)=100, 100, 100, m=12026.021
mDMNoise Variance Triplet=(0.3, 0.1, 0.3), Intrinsic Dimension (d)=10, Sample Size (n)=200, Feature Dimensions (p)=100, 100, 1002026.020.99
pADMNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.98
GRAB-MDMNoise Variance Triplet=(3, 2, 3)2026.020.95
DMNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.94
tSNENoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.93
mISOMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.92
mLLENoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.91
LLENoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.91
ISOMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.91
mSNENoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.9
UMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.9
mUMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.020.89
GRAB-MDMNoise Variance Triplet=(5, 7, 5)2026.020.89
GRAB-MDMNoise Variance Triplet=(10, 10, 10)2026.020.84
GRAB-MDMNoise Variance Triplet=(20, 10, 45)2026.020.81
GRAB-MDMNoise Variance Triplet=(10, 25, 40)2026.020.79
GRAB-MDMNoise Variance Triplet=(10, 30, 50)2026.020.77