Radial basis function

A Radial Basis Function (RBF) is a type of mathematical function used to measure the distance from a central point, typically in multi-dimensional space. It takes values that depend on how far you are from that point—the closer you are, the higher the value. RBFs are commonly used in various fields such as machine learning for tasks like pattern recognition and interpolation, where they help model complex relationships by projecting data into a higher-dimensional space. This makes them effective for tasks like classification and regression, allowing computers to learn and make predictions based on data patterns.