Research map / Learning theory and algorithms / Clustering
Efficient and Effective Incomplete Multi-View Clustering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| impute incomplete base clustering matrices with consensus (EE-IMVC) instead of imputing kernel matrices (MKKM-IK) | incomplete multi-view clustering · Flower17 | ACC: 44.7 -> 52.9 | Helped |
| EE-IMVC instead of LI-MKKM | incomplete multi-view clustering · Flower102 | ACC: 23.1 -> 36.4 | Helped |
| EE-IMVC instead of LI-MKKM | incomplete multi-view clustering · Caltech102 | ACC: 22.1 -> 31.9 | Helped |
| EE-IMVC instead of LI-MKKM | incomplete multi-view clustering · CCV | ACC: 18.7 -> 23.4 | Helped |
| joint imputation and clustering (MKKM-IK) instead of two-stage imputation (MKKM+AF) | MKKM · Flower17 | ACC: 40.8 -> 44.7 | Helped |
| EE-IMVC instead of MKKM-IK | incomplete multi-view clustering · all four datasets | running time | Helped |
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