Factor Investing, Dimensionality Reduction, Sklearn, Python.
project the data onto a lower-dimensional representation while preserving the local relationships. Some popular manifold learning techniques include Isomap (Isometric Feature Mapping), LLE (Locally Linear Embedding), t-SNE (t-Distributed Stochastic Neighbor Embedding), and UMAP (Uniform Manifold