Deep multiview learning to identify imaging-driven subtypes in mild cognitive impairment

BMC Bioinformatics

Table 5 Comparison of features used in clustering

Experiments	Features Used for Clustering	# Features
Exp 1 VBM	\(X_{\text {VBM}}\)	116
Exp 2 AV45	\(X_{\text {AV45}}\)	116
Exp 3 FDG	\(X_{\text {FDG}}\)	116
Exp 4 GCCA	\(G_{gcca}\)	94
Exp 5 DGCCA	\(G_{dgcca}\)	20

The feature numbers used in Exps 5–6 were determined to explain \(70\%\) of total data variance respectively; see also Fig. 11

ISSN: 1471-2105