Figure 4From: Classification of microarray data using gene networksSupervised classification results. Performance of the supervised classification when changing the metric with the function φexp(λ) = exp(-βλ) for different values of β (left picture), or the function φthres(λ) = 1(λ <λ0) for different values of λ0 (i.e., keeping only a fraction of the smallest eigenvalues, right picture). The performance is estimated from the number of misclassifications in a leave-one-out errorBack to article page