An Efficient Diagnosis System for Parkinson’s Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach

Table 4

The cluster centers of the features of PD dataset using SCFW method.

Number of feature	Centers of the features using SCFW (normal case)	Centers of the features using SCFW (PD case)
F1	154.229	181.938
F2	197.105	223.637
F3	116.325	145.207
F4	0.006	0.006
F5	0	0
F6	0.003	0.003
F7	0.003	0.003
F8	0.01	0.01
F9	0.03	0.03
F10	0.282	0.276
F11	0.016	0.015
F12	0.018	0.018
F13	0.024	0.013
F14	0.047	0.045
F15	0.025	0.028
F16	21.886	24.678
F17	0.499	0.443
F18	0.718	0.696
F19	−5.684	−6.759
F20	0.227	0.161
F21	2.382	2.155
F22	0.207	0.123