Attraction-Repulsion Spectrum in Neighbor Embeddings — mentioned by nighthawk454

Fri, 10 Jun 2022 23:57:26 GMT

All these dimension reduction methods are extremely similar. The math essentially just preserves nearest neighbors, with a setting for how 'tight' you want the clusters to be. Check out this image [1] and accompanying paper [2] for further reference [1] https://www.semanticscholar.org/paper/A-Unifying-Perspective... [2] https://arxiv.org/abs/2007.08902

Paper and discussion history. A mention is not an endorsement.

Attraction-Repulsion Spectrum in Neighbor Embeddings · HackerPapers discussions

Attraction-Repulsion Spectrum in Neighbor Embeddings — mentioned by nighthawk454