Research map / Learning theory and algorithms / Clustering
Multiple Kernel k-Means Clustering with Matrix-Induced Regularization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add matrix-induced kernel-correlation regularization to MKKM | MKKM · Flower17 | ACC: 45.37 -> 60.00 | Helped |
| add matrix-induced kernel-correlation regularization to MKKM | MKKM · Digital | ACC: 47.00 -> 90.95 | Helped |
| add matrix-induced kernel-correlation regularization to MKKM | MKKM · ProteinFold | ACC: 27.23 -> 37.32 | Helped |
| add matrix-induced kernel-correlation regularization to MKKM | MKKM · Flower102 | ACC: 40.27 -> 56.72 | Helped |
| add matrix-induced kernel-correlation regularization to MKKM | MKKM · Caltech102 | ACC: 40.36 -> 45.39 | Helped |
| add matrix-induced regularization to MKKM | MKKM · Digital | NMI: 48.16 -> 83.87 | Helped |
| vary regularization weight λ from 2^-15 to 2^15 (ablation) | MKKM-MR · Flower17 and Digital | NMI | Mixed |
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