Skip to main content

Table 7 Optimal λ comparison in projection method with considered kernels in sonar data, live disorder data, breast cancer data and NSCLC data

From: Optimal projection method determination by Logdet Divergence and perturbed von-Neumann Divergence

   α=1,β=2 α=1,β=3 α=2,β=3 Cosine
Sonar (λ opt,AUCopt) (2.00,0.8266) (2.00,0.8787) (2.00,0.8585) (2.00,0.9034)
  (λ opt1,AUCopt1) (2.59,0.8284) (2.16,0.8784) (4.32,0.8486) (8.30,0.9118)
Live (λ opt,AUCopt) (2.38,0.7559) (2.37,0.7397) (2.45,0.7543) (2.17,0.7292)
  (λ opt1,AUCopt1) (2.08,0.7571) (2.04,0.7415) (2.09,0.7542) (6.70,0.7249)
Breast (λ opt,AUCopt) (4.60,0.9689) (6.57,0.9659) (4.06,0.9684) (4.29,0.9937)
  (λ opt1,AUCopt1) (2.03,0.9702) (2.02,0.9675) (2.20,0.9686) (13.04,0.9936)
NSCLC (λ opt,AUCopt) (2.00,0.9996) (2.00,0.9959) (2.00,0.9903) (2.00,0.4059)
  (λ opt1,AUCopt1) (4.96,0.9990) (3.58,0.9978) (2.69,0.9910) (2.30,0.4010)
  1. The italicize represents visible difference detected for projection methods with different optimal λ
\