Table 2: Clustering performance on MSRC, HandWritten4, Mnist4 and AWA. (The best result is in bold, and the second-best result is underlined.)
Dataset	MSRC
Metrics	ACC	NMI	Purity	PER	REC	F-score	ARI
AMGL [25] (IJCAI' 16)	0.751±0.000	0.704±0.000	0.789±0.000	0.621±0.000	0.744±0.000	0.674±0.000	0.615±0.000
MVGL [40] (TCYB' 17)	0.690±0.000	0.663±0.000	0.733±0.000	0.466±0.000	0.715±0.000	0.564±0.000	0.476±0.000
CSMSC [24] (AAAI' 18)	0.758±0.007	0.735±0.010	0.793±0.008	0.736±0.014	0.673±0.008	0.703±0.010	0.653±0.012
GMC [30] (TKDE' 19)	0.895±0.000	0.809±0.000	0.895±0.000	0.788±0.000	0.814±0.000	0.801±0.000	0.768±0.000
LMVSC [17] (AAAI' 20)	0.814±0.000	0.717±0.000	0.814±0.000	0.676±0.000	0.692±0.000	0.684±0.000	0.632±0.000
SMSC [16] (Inf Fusion' 20)	0.766±0.000	0.717±0.000	0.804±0.000	0.672±0.000	0.718±0.000	0.694±0.000	0.643±0.000
FMCNOF [37] (TIP' 21)	0.440±0.039	0.345±0.046	0.449±0.042	0.290±0.036	0.606±0.074	0.395±0.036	0.249±0.051
FPMVS-CAG [31] (TIP' 21)	0.786±0.000	0.686±0.000	0.786±0.000	0.684±0.000	0.642±0.000	0.731±0.000	0.629±0.000
SFMC [21] (TPAMI' 22)	0.810±0.000	0.721±0.000	0.810±0.000	0.657±0.000	0.782±0.000	0.714±0.000	0.663±0.000
ETLMSC [35] (TIP' 19)	0.962±0.000	0.937±0.000	0.962±0.000	0.926±0.000	0.931±0.000	0.928±0.000	0.917±0.000
MSC-BG [38] (TIP' 22)	0.981±0.000	0.960±0.000	0.981±0.000	0.961±0.000	0.963±0.000	0.962±0.000	0.956±0.000
ours	0.990±0.000	0.978±0.000	0.990±0.000	0.980±0.000	0.981±0.000	0.981±0.000	0.978±0.000
Dataset	HandWritten4
Metrics	ACC	NMI	Purity	PER	REC	F-score	ARI
AMGL [25] (IJCAI' 16)	0.704±0.000	0.762±0.000	0.732±0.000	0.591±0.000	0.781±0.000	0.670±0.000	0.628±0.000
MVGL [40] (TCYB' 17)	0.811±0.000	0.809±0.000	0.831±0.000	0.721±0.000	0.826±0.000	0.770±0.000	0.743±0.000
CSMSC [24] (AAAI' 18)	0.806±0.001	0.793±0.001	0.867±0.001	0.778±0.001	0.743±0.001	0.760±0.001	0.733±0.001
GMC [30] (TKDE' 19)	0.861±0.000	0.859±0.000	0.861±0.000	0.799±0.000	0.855±0.000	0.826±0.000	0.806±0.000
LMVSC [17] (AAAI' 20)	0.904±0.000	0.831±0.000	0.904±0.000	0.819±0.000	0.825±0.000	0.822±0.000	0.802±0.000
SMSC [16] (Inf Fusion' 20)	0.742±0.000	0.781±0.000	0.759±0.000	0.675±0.000	0.767±0.000	0.717±0.000	0.685±0.000
FMCNOF [37] (TIP' 21)	0.385±0.092	0.370±0.092	0.386±0.093	0.254±0.077	0.688±0.101	0.360±0.070	0.250±0.097
FPMVS-CAG [31] (TIP' 21)	0.744±0.000	0.753±0.000	0.744±0.000	0.681±0.000	0.636±0.000	0.762±0.000	0.642±0.000
SFMC [21] (TPAMI' 22)	0.853±0.000	0.871±0.000	0.873±0.000	0.775±0.000	0.910±0.000	0.837±0.000	0.817±0.000
ETLMSC [35] (TIP' 19)	0.938±0.001	0.893±0.001	0.938±0.001	0.886±0.001	0.890±0.001	0.888±0.001	0.876±0.001
MSC-BG [38] (TIP' 22)	0.889±0.000	0.922±0.000	0.889±0.000	0.871±0.000	0.893±0.000	0.882±0.000	0.869±0.000
ours	0.985±0.000	0.969±0.000	0.985±0.000	0.970±0.000	0.970±0.000	0.970±0.000	0.966±0.000
Dataset	Mnist4
Metrics	ACC	NMI	Purity	PER	REC	F-score	ARI
AMGL [25] (IJCAI' 16)	0.921±0.000	0.806±0.000	0.921±0.000	0.854±0.000	0.862±0.000	0.858±0.000	0.810±0.000
MVGL [40] (TCYB' 17)	0.919±0.000	0.803±0.000	0.919±0.000	0.851±0.000	0.860±0.000	0.856±0.000	0.807±0.000
CSMSC [24] (AAAI' 18)	0.641±0.000	0.601±0.010	0.728±0.008	0.607±0.014	0.767±0.008	0.677±0.010	0.553±0.012
GMC [30] (TKDE' 19)	0.920±0.000	0.807±0.000	0.920±0.000	0.853±0.000	0.861±0.000	0.857±0.000	0.809±0.000
LMVSC [17] (AAAI' 20)	0.892±0.000	0.726±0.000	0.892±0.000	0.808±0.000	0.812±0.000	0.810±0.000	0.747±0.000
SMSC [16] (Inf Fusion' 20)	0.909±0.000	0.774±0.000	0.909±0.000	0.834±0.000	0.841±0.000	0.837±0.000	0.783±0.000
FMCNOF [37] (TIP' 21)	0.697±0.119	0.490±0.102	0.711±0.096	0.558±0.118	0.683±0.073	0.611±0.095	0.460±0.145
FPMVS-CAG [31] (TIP' 21)	0.885±0.000	0.715±0.000	0.885±0.000	0.800±0.000	0.795±0.000	0.815±0.000	0.733±0.000
SFMC [21] (TPAMI' 22)	0.916±0.000	0.797±0.000	0.916±0.000	0.846±0.000	0.855±0.000	0.850±0.000	0.800±0.000
ETLMSC [35] (TIP' 19)	0.934±0.000	0.847±0.000	0.934±0.000	0.878±0.000	0.885±0.000	0.881±0.000	0.842±0.000
MSC-BG [38] (TIP' 22)	0.938±0.000	0.861±0.000	0.938±0.000	0.884±0.000	0.891±0.000	0.888±0.000	0.850±0.000
ours	0.977±0.000	0.926±0.000	0.977±0.000	0.955±0.000	0.956±0.000	0.955±0.000	0.941±0.000
Dataset	AWA
Metrics	ACC	NMI	Purity	PER	REC	F-score	ARI
AMGL [40] (TCYB' 17)	0.061±0.000	0.070±0.000	0.065±0.000	0.020±0.000	0.843±0.000	0.840±0.000	0.812±0.000
CSMSC [24] (AAAI' 18)	0.113±0.000	0.175±0.002	0.119±0.001	0.051±0.001	0.054±0.001	0.053±0.011	0.033±0.011
GMC [30] (TKDE' 19)	0.028±0.000	0.030±0.000	0.039±0.001	0.020±0.001	0.915±0.001	0.039±0.011	0.011±0.011
LMVSC [17] (AAAI' 20)	0.105±0.000	0.171±0.000	0.114±0.001	0.041±0.001	0.065±0.001	0.051±0.011	0.027±0.011
FMCNOF [37] (TIP' 21)	0.135±0.011	0.188±0.111	0.135±0.111	0.121±0.111	-	-	-
FPMVS-CAG [31] (TIP' 21)	-	-	-	-	-	-	-
SFMC [21] (TPAMI' 22)	-	-	-	-	-	-	-
ours	-	-	-	-	-	-	-