Table 4 Clustering results on Hidigit, ALOI and Digit-product datasets.
From: Self-weighted dual contrastive multi-view clustering network
Dataset | Hidigt | ALOI | Digit-product | ||||||
---|---|---|---|---|---|---|---|---|---|
Metric | ACC | NMI | PUR | ACC | NMI | PUR | ACC | NMI | PUR |
K-means | 0.5291 | 0.4717 | 0.5473 | 0.4614 | 0.6711 | 0.4950 | 0.4992 | 0.4769 | 0.5680 |
BMVC | 0.7040 | 0.5750 | 0.7510 | 0.5320 | 0.7200 | 0.5640 | 0.5909 | 0.4294 | 0.6321 |
LMVSC | 0.5424 | 0.4736 | 0.5800 | 0.5323 | 0.7192 | 0.5323 | 0.5524 | 0.5013 | 0.6002 |
FPMVS-CAG | 0.9104 | 0.8060 | 0.9104 | 0.3354 | 0.6520 | 0.3317 | 0.7560 | 0.6884 | 0.7563 |
EAMC | 0.5268 | 0.7440 | 0.5702 | 0.5608 | 0.1799 | 0.0623 | 0.7553 | 0.7844 | 0.7733 |
SIMVC | 0.7119 | 0.6727 | 0.7119 | 0.7220 | 0.8979 | 0.7354 | 0.6003 | 0.5920 | 0.6003 |
DSMVC | 0.9909 | 0.9545 | 0.9909 | 0.5487 | 0.7654 | 0.5600 | 0.7656 | 0.6970 | 0.7656 |
propos | 0.9780 | 0.9179 | 0.9780 | 0.4656 | 0.6719 | 0.4750 | 0.9523 | 0.9148 | 0.9523 |
COMVC | 0.9872 | 0.9656 | 0.9872 | 0.7221 | 0.8997 | 0.7490 | 0.7183 | 0.6700 | 0.7183 |
MFLVC | 0.9266 | 0.8425 | 0.9266 | 0.5290 | 0.8289 | 0.5274 | 0.9648 | 0.9857 | 0.9688 |
GCFAgg | 0.9730 | 0.9262 | 0.9730 | 0.7631 | 0.8951 | 0.7867 | 0.9503 | 0.9387 | 0.9503 |
DCMVC | 0.9920 | 0.9643 | 0.9920 | 0.9129 | 0.9360 | 0.9320 | 0.9676 | 0.9529 | 0.9676 |
Ours | 0.9926 | 0.9785 | 0.9926 | 0.9300 | 0.9415 | 0.9366 | 0.9727 | 0.9531 | 0.9727 |