Kernel Principal Component Analysis (KPCA) Method for Multidimensional Quality Assessment

To address PCA's limitation in processing nonlinear data for comprehensive multi-index analysis, we implemented the Kernel Principal Component Analysis (KPCA) method with Gaussian kernel to evaluate the quality characteristics of 16 distinct fermented bean curd varieties across different Chinese regions.