Pca Pic.rar Apr 2026

Finding the vectors (directions) that contain the most variance in the data.

PCA is used to simplify complex data by reducing its "dimensions" while keeping the most important information. In a PIC environment, this is often used for: PCA PIC.rar

Calculating how variables change together (often pre-computed or simplified). Finding the vectors (directions) that contain the most

Reducing the size of data before transmitting it over a slow connection like UART or SPI. ⚙️ How the Algorithm is Implemented PCA PIC.rar