Principal Component Analysis Calculation Example

Introduction & Importance

Principal Component Analysis (PCA) is a powerful technique used to simplify complex data sets by reducing their dimensionality. It identifies patterns in the data and represents them in fewer dimensions, making it easier to understand and visualize.