Nature Communications (Nov 2019)

Automated optimized parameters for T-distributed stochastic neighbor embedding improve visualization and analysis of large datasets

  • Anna C. Belkina,
  • Christopher O. Ciccolella,
  • Rina Anno,
  • Richard Halpert,
  • Josef Spidlen,
  • Jennifer E. Snyder-Cappione

DOI
https://doi.org/10.1038/s41467-019-13055-y
Journal volume & issue
Vol. 10, no. 1
pp. 1 – 12

Abstract

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Visualisation tools that use dimensionality reduction, such as t-SNE, provide poor visualisation on large data sets of millions of observations. Here the authors present opt-SNE, that automatically finds data set-tailored parameters for t-SNE to optimise visualisation and improve analysis.