Principal Component Analysis (PCA) Calculator
Introduction & Importance
Principal Component Analysis (PCA) is a powerful technique used to reduce the dimensionality of data while retaining as much information as possible. It’s crucial for visualizing high-dimensional data, reducing noise, and improving machine learning algorithms.