Probabilistic methods are a category of dimensionality reduction. Among the probabilistic methods, there are neighbour embedding algorithms where the probabilities of neighbourhoods are used. In these algorithms, attractive and repulsive forces are utilized for neighbour and non-neighbour points, respectively.
CITATION STYLE
Ghojogh, B., Crowley, M., Karray, F., & Ghodsi, A. (2023). Uniform Manifold Approximation and Projection (UMAP). In Elements of Dimensionality Reduction and Manifold Learning (pp. 479–497). Springer International Publishing. https://doi.org/10.1007/978-3-031-10602-6_17
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