A Self-Organizing UMAP for Clustering

Author:

Taylor Josh,Offner Stella

Publisher

Springer Nature Switzerland

Reference13 articles.

1. Böhm, J.N., Berens, P., Kobak, D.: Attraction-repulsion spectrum in neighbor embeddings. J. Mach. Learn. Res. 23(95), 1–32 (2022)

2. Damrich, S., Böhm, N., Hamprecht, F.A., Kobak, D.: From $$ t $$-SNE to UMAP with contrastive learning. In: The Eleventh International Conference on Learning Representations (2022)

3. Damrich, S., Hamprecht, F.A.: On UMAP’s true loss function. Adv. Neural. Inf. Process. Syst. 34, 5798–5809 (2021)

4. Fortune, S.: Voronoi diagrams and delaunay triangulations. In: Computing in Euclidean Geometry, pp. 225–265 (1995)

5. Fritzke, B.: Growing cell structures-a self-organizing network for unsupervised and supervised learning. Neural Netw. 7(9), 1441–1460 (1994)

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