Factor Investing, Dimensionality Reduction, Sklearn, Python.
the data, which may not be well-captured by linear dimensionality reduction techniques such as principal component analysis (PCA). Manifold learning algorithms typically use local neighborhoods or patches of data points to infer the local geometry of the manifold, and then use this information to