Understanding Vector Normalization
Vectors are fundamental entities used to represent quantities that have both direction and magnitude. Whether you’re working in machine learning, physics, or computer graphics, vectors have a crucial role. However, the raw magnitude of a vector is not always useful in certain computations. This is where vector normalization comes into play. Vector normalization is a process that scales a vector so that it has a unit length of 1 but retains its direction. This operation is particularly useful in various applications, including machine learning, physics simulations, and computer graphics. ...