"This spatio-temporal system exhibits diffusion, dispersion, linear growth, and nonlinearity. Consequently, it has a rich set of complex dynamics.\n", "\n", "We first compute the numerical solution to ...

PCA is an important tool for dimensionality reduction in data science and to compute grasp poses for robotic manipulation from point cloud data. PCA can also directly used within a larger machine ...

This project demonstrates the use of Principal Component Analysis (PCA) for dimensionality reduction in a real-world medical classification task. The primary goal is to predict the presence of heart ...