[IPOL announce] new article: A Review of t-SNE

[announcements about the IPOL journal]

A new article is available in IPOL: https://www.ipol.im/pub/art/2024/528/

Sangwon Jung, Tristan Dagobert, Jean-Michel Morel, and Gabriele Facciolo,
A Review of t-SNE,
Image Processing On Line, 14 (2024), pp. 250–270.
https://doi.org/10.5201/ipol.2024.528

Abstract

High dimensional data is difficult to visualize. T-Distributed 
Stochastic Neighbor Embedding (t-SNE) is a popular technique for 
dimensionality reduction enabling a planar visualization of a dataset 
preserving as much as possible its metric. This paper explores the 
theoretical background of t-SNE and its accelerated version. A 
comparison of the performance of t-SNE on various datasets with 
different dimensions is also performed.




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