Visualizing Data Using t-SNE

Google TechTalks1 HN recommender · recommended in 1 month, 2013–2019

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talk · intermediate · evergreen · 2013–2019 on HN

A Google Tech Talk by Laurens van der Maaten, co-creator of t-SNE, on visualizing high-dimensional data by mapping it to two dimensions. It explains how the technique works and how it compares with other visualization approaches.

HN people point to it as the canonical explanation from the method's author whenever t-SNE comes up.

Data visualization & information design Machine learning & deep learning #t-sne #datavisualization #machinelearning #high-dimensionaldata

3 comments from Hacker News

@a1k0n2013-11 · in “Show HN: 3d Word Vectors with Neural Networks, T-SNE, and WebGL”

Barnes-Hut uses a quadtree, doesn't it? I don't know whether the code was adapted to use an octree in 3D instead; maybe it was? FWIW there's a really interesting Google techtalk on how it works: ▶ this video

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@vankessel2019-08 · in “The Human Brain Can Create Structures in Up to 11 Dimensions”

Use non spatial dimensions as well, like color, size, and shape. You can also use clever projections like t-sne to reduce the number of dimensions while retaining some of the structure of the data ( ▶ this video )

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@zoren2016-11 · in “A.I. Experiments”

Thanks for the offer. I've seen this ▶ this video and I think I understand how it works but still think the results are amazing.

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