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

<div>Three-dimensional distribution of two classes in the original and weighted feature space by the best three principle components obtained with PCA method.</div>

Computational and Mathematical Methods in Medicine

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Figure 5

Figure 5: An Efficient Diagnosis System for Parkinson’s Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach 

Figure 5 | An Efficient Diagnosis System for Parkinson’s Disease Using Kernel-Based Extreme Learning Machine with Subtractive Clustering Features Weighting Approach 