eigenvectors

Data that has many features or variables, sometimes with the number of variables even exceeding the number of samples, is often referred to as high-dimensional data. High-dimensional data may present challenges for computation, data management, and collinearity. Therefore, a common approach is to reduce the number of dimensions.