Machine Learning, Artificial Intelligence, Dimensionality Reduction, Pca Analysis.
Underlying Structure This approach is based on the manifold hypothesis, suggesting that most high-dimensional datasets are close to a lower-dimensional manifold. Manifold Learning algorithms strive to uncover this hidden structure, providing a more meaningful representation of the data. Principal