In this chapter, we have studied the Kernel PCA, along with ICA. We also studied compressed sensing, the goals of compressed sensing, and self-organizing maps and how they work. Finally, we concluded with Bayesian multiple imputations.
In this chapter, we have studied the Kernel PCA, along with ICA. We also studied compressed sensing, the goals of compressed sensing, and self-organizing maps and how they work. Finally, we concluded with Bayesian multiple imputations.