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. 2018 Oct 1;13(10):e0202348. doi: 10.1371/journal.pone.0202348

Table 6. Complexity metrics of 3D knee kinematics and reference databases.

Complexity measures 3D knee kinematics Wine Iris
Fraction of points on the class boundary (N1) 0.5 4.7 10−4 0.6
Ratio of average intra/inter class nearest neighbor distance (N2) 0.9 0.026 0.1
Error rate of a nearest neighbor distance (N3) 0.3 2.3 10−4 0
Non-linearity of 1-nearest neighbor classifier (N4) 0.2 0.0 0
Fraction of maximum covering spheres (T1) 1 1 1
Average number of points per dimension (T2) 1.29 522 37.5