Stochastic neighbor embedding - PowerPoint PPT Presentation

Dimensionality reduction: Some Assumptions

Dimensionality reduction: Some Assumptions. High-dimensional data often lies on or near a much lower dimensional, curved manifold. A good way to represent data points is by their low-dimensional coordinates.

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677 views • 46 slides

Stochastic Neighbor Embedding and Its Variants

Stochastic Neighbor Embedding and Its Variants. Xiaohong Chen 2011/03/17. Outline. SNE: Stochastic Neighbor Embedding SSNE: Symmetric SNE t-SNE: t-distributed SNE HSSNE: Heavy-tailed SSNE m-SNE: Multiview SNE. Outline. SNE: Stochastic Neighbor Embedding SSNE: Symmetric SNE

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356 views • 33 slides

Visualizing Data using t-SNE

Visualizing Data using t-SNE. Presenter : Wei- Hao Huang Authors : Geoffrey Hinton JMLR 2008. Outlines. Motivation Objectives Methodology Experiments Conclusions Comments. Motivation.

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2.18k views • 17 slides

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