Clustering on Synthetic Dataset Setup 1.0 (test)
1AccuracyGRAB-MDM
Evaluation Results
| Method | Links | |
|---|---|---|
| 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=12026.02 | 1 | |
| mDMNoise Variance Triplet=(0.3, 0.1, 0.3), Intrinsic Dimension (d)=10, Sample Size (n)=200, Feature Dimensions (p)=100, 100, 1002026.02 | 0.99 | |
| pADMNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.98 | |
| GRAB-MDMNoise Variance Triplet=(3, 2, 3)2026.02 | 0.95 | |
| DMNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.94 | |
| tSNENoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.93 | |
| mISOMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.92 | |
| mLLENoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.91 | |
| LLENoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.91 | |
| ISOMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.91 | |
| mSNENoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.9 | |
| UMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.9 | |
| mUMAPNoise Variance Triplet=(0.3, 0.1, 0.3)2026.02 | 0.89 | |
| GRAB-MDMNoise Variance Triplet=(5, 7, 5)2026.02 | 0.89 | |
| GRAB-MDMNoise Variance Triplet=(10, 10, 10)2026.02 | 0.84 | |
| GRAB-MDMNoise Variance Triplet=(20, 10, 45)2026.02 | 0.81 | |
| GRAB-MDMNoise Variance Triplet=(10, 25, 40)2026.02 | 0.79 | |
| GRAB-MDMNoise Variance Triplet=(10, 30, 50)2026.02 | 0.77 |