A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis

<div>Decomposition of (a) a sample input GM density map into (b) the component of non-class-specific (without labeled features) and (c) component of class-specific (labeled features).</div>

Computational and Mathematical Methods in Medicine

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Figure 2: A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis 

Figure 2 | A Classification Algorithm by Combination of Feature Decomposition and Kernel Discriminant Analysis (KDA) for Automatic MR Brain Image Classification and AD Diagnosis 