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pairwisepairwise comparisons of all itemspairwise comparisons of all items
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this works with a directed, weighted graph, and retains local dis
this algorithm is based on the assumption that a high-dimensional dataset lying on a smooth manifold can have local linear structures that it tries to preserve during the dimensionality reduction process. Bonaccorso
- https://cs.nyu.edu/~roweis/lle/
- https://www.oreilly.com/library/view/mastering-machine-learning/9781788621113/22aa0177-a8f6-4960-b511-451a6ee3c7ff.xhtml
- https://stats.stackexchange.com/questions/82037/explain-steps-of-lle-local-linear-embedding-algorithm
- https://scikit-learn.org/stable/modules/manifold.html
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pairwisepairwise comparisons of all itemspairwise comparisons of all items