In the realm of nanotechnology, researchers often deal with high-dimensional datasets due to the complex nature of nanomaterials and their properties. PCA is crucial for simplifying these datasets, making it easier to visualize, analyze, and interpret data without losing significant information. This is especially important for applications like nanomaterials characterization, nanomedicine research, and nanoelectronics.
