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