. Author manuscript; available in PMC: 2020 May 1.

Published in final edited form as: IEEE Trans Med Imaging. 2018 Nov 26;38(5):1304–1313. doi: 10.1109/TMI.2018.2883301

TABLE I:

Pixel classification accuracy (averaged over 2-folds) of the proposed and alternative techniques on test images.

Features+classifier	Optimal settings	F1-score (%)
SSNMF+ArgMax	SSNMF: r = 10, λ = 1, L_ij = 0.01	55.92

NMF+SVM	NMF: r = 10; SVM: RBF kernel, σ=0.2, C=10	62.81
NMF+GNB	NMF: r = 10	64.32
NMF+RF	NMF: r = 10; Number of trees = 500, Number of variables per split = 5	66.75
NMF+SSHC	NMF: r = 10; SSHC: Number of clusters = 24	69.02

SSNMF+SVM	SSNMF: r = 10, λ = 1, L_ij = 0.01; SVM: RBF kernel, σ=0.2, C=10	64.93
SSNMF+GNB	SSNMF: r = 10, λ = 1, L_ij = 0.01	65.71
SSNMF+RF	SSNMF: r = 10, λ = 1, L_ij = 0.01; Number of trees=500, Number of variables per split=5	67.84
SSNMF+SSHC	SSNMF: r = 10, λ = 1, L_ij = 0.01; SSHC: Number of clusters = 21	71.18