We had the pleasure of having Prof. Alex Telea from Utrecht University, visiting Uppsala 18-22 November and he gave several interesting lectures and talks. Among those was an InfraVis Colloquium where he presented 2D data visualisation techniques and also showed which high dimensional reduction techniques there are the most efficient.
Interestingly, he showed that t-SNE has some advantages over UMAP, which is in line with my own experiences. This contradicts most peoples ideas, who thinks UMAP is better simply because it is newer, or that it tend to preserve internal cluster distances, which is not really desirable in many cases as some cluster can be located very far away from the rest, etc.
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Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor and in 2019 he became professor in image processing, both at Uppsala University. He has been affiliated with UPPMAX super computer centre where he worked as an application expert in Scientific Visualisation and later in the field of digital humanities together with the Centre for digital humanities in Uppsala. His recent research has focused on image processing and computer vision, for applications in microscopy, aerial photography, object recognition and especially hand written text recognition and face recognition.
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Anders Hast 