Table 4 Fitted Generalized Pareto and Gamma distribution to the data of subjects belonging to group DM.

From: Facial erythema detects diabetic neuropathy using the fusion of machine learning, random matrix theory and self organized criticality

 

DM

\(DM_1\)

\(DM_2\)

\(DM_3\)

\(DM_{11}\)

\(DM_{12}\)

\(DM_{13}\)

\(DM_{21}\)

\(DM_{22}\)

\(DM_{23}\)

\(DM_{31}\)

\(DM_{32}\)

\(DM_{33}\)

\(GP(k,\sigma )\)

(\(-\) 0.378,0.156)

(\(-\) 0.334,0.131)

(\(-\) 0.361,0.127)

(\(-\) 0.455,0.724)

(\(-\) 0.135,0.665)

(\(-\) 0.172,0.758)

(\(-\) 0.745,0.713)

(\(-\) 0.811,0.916)

(\(-\) 0.565,0.748)

\(\Gamma (\beta ,\theta )\)

(5.449,0.022)

(4.935,0.021)

(4.344,0.023)

(4.948,0.006)

(2.283,0.008)

(1.783,0.015)

(3.310,0.183)

(5.450,0.146)

(3.615,0.133)

\(\gamma \)

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

N/A

  1. \(DM_{ij}\) is the jth video segment of subject i.
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