t-SNE (t-distributed stochastic neighbor embedding)
Dataconomy
APRIL 3, 2025
With applications ranging from genomics to image processing, t-SNE helps bridge the gap between intricate data environments and actionable insights. t-SNE was developed by Laurens van der Maaten and Geoffrey Hinton in 2008 to visualize high-dimensional data. What is t-SNE (t-distributed stochastic neighbor embedding)?
Let's personalize your content