- published
- 2024-10-31
- reference
- 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
Communicated by Gregory Randall
Demo edited by Gabriele Facciolo and Tristan Dagobert
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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- full text manuscript: PDF (8.6MB)
- source code: ZIP