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space (based on the selection of kernel function), then extract the PCA components in that modified dimensions, as shown in Figure 2. Figure 2. Kernel PCA illustration (David Thompson, Caltech (2018)) Spectral Embedding Spectral Embedding is a non-linear dimensionality reduction method that works