Visualizing Data using t-SNE.

van der Maaten, L., & Hinton, G. (2008). Visualizing Data using t-SNE. Journal of Machine Learning Research, 9, 2579-2605.

Type

Journal article

Intellectual base

Primary research

Year

2008

Link

https://www.jmlr.org/papers/v9/vandermaaten08a.html

Cited from

mathematics, neuroscience, statistics_experimental_design

Cited by

3 citations across 3 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Dimension
  • t-SNE

    This sourceLocal-neighborhood-preserving nonlinear visualization method (a t-distributed variant of stochastic neighbor embedding).

• Dimensionality Reduction
  • Listed in the references but not attached to a specific claim.
• Topographic Map
  • The source space is, say, the 784-dimensional space of handwritten-digit images with a neighbourhood relation given by feature-space distance; the substrate is the 2D plot.

    This sourceDefines t-SNE, which embeds high-dimensional data by preserving neighbour distributions, magnifying dense clusters.

Verification

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