Table 3 Validation Results: The mean classification error, normalized mutual information (NMI) and stability, on all datasets, are shown, measuring the agreement between the clusters resulting from an approach and the real patient classification

Single View

All Feature

-

Ward

30,08 %

26 %

86 %

-

Kmeans

30,93 %

25 %

51 %

-

Pamk

30,75 %

24 %

94 %

Selected Prototype

-

Ward

30,72 %

26 %

89 %

-

Kmeans

30,36 %

25 %

52 %

-

Pamk

30,78 %

24 %

96 %

Multi-View

All Feature

Early Integration

Tw-kmeans

37,10 %

24 %

69 %

All Feature

Intermediate Integration

SNF

30,83 %

22 %

83 %

All Feature in Cluster of Selected Prototype

Intermediate Integration

SNF

31,31 %

18 %

82 %

Selected Prototype

Late Integration unsupervised

MF/GLI

27,47 %

28 %

85 %

Selected Prototype

Late Integration semi-supervised

MF/GLI

6,30 %

63 %

84 %