Bilkent Üniversitesi Topoloji Seminerleri
UMAP for the Working Mathematician
Rick Jardine
Western University, Kanada
The Healy-McInnes UMAP algorithm is a highly successful clustering tool that involves interesting ideas from mathematics and data science:
1) Spivak's theory of extended pseudo metric spaces (ep-metric spaces)
2) TDA constructions in ep-metric spaces
3) weighted graphs
4) classical dimension reduction
5) graph optimization: fuzzy sets, cross entropy
I will explain the algorithm from a mathematical point of view.
NOT:
To request the event link, please send a message to cihan.okay@bilkent.edu.tr
