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.
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).
- t-SNE
- 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.
- 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.
Verification¶
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Does it back the claim? Recorded for 1 of 3 citations of this work.
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Registry ID ref:77e4736f41eb · see in the full table