Research map / Learning theory and algorithms / Clustering
Balanced Clustering with Least Square Regression
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use balance constraint with BCLS regression clustering instead of unconstrained K-means | BCLS · CMU-PIE | ACC: 20.30 -> 73.80 | Helped |
| Replace K-means with BCLS least-square regression clustering | clustering · YALE-B | ACC: 11.60 -> 43.44 | Helped |
| Use BCLS instead of BKM | clustering · CMU-PIE | ACC: 22.20 -> 73.80 | Helped |
| Increase balance parameter lambda (ablation) | BCLS · AR and UMIST | ACC | Mixed |
| BCLS vs spectral clustering | BCLS · UMIST | ACC: 66.84 -> 66.58 | Hurt |
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