Factor Investing, Dimensionality Reduction, Sklearn, Python.
reduction depends on the choice of random matrices, and different types of random matrices can have different properties and performance characteristics. Mainfold Learning Manifold learning is a type of dimensionality reduction technique used in machine learning to represent high-dimensional data