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Stochastic Neighbor Embedding

Geoffrey E. Hinton^{a b c}, Sam T. Roweis^{a b c}

^aDepartment of Computer Science
^bUniversity of Toronto
^cToronto, Canada

2002-01-01 1,635 citations9 references

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Abstract

We describe a probabilistic approach to the task of embedding highdimensional objects into a low-dimensional space in a way that preserves neighbor identities. A Gaussian is centered on each object in the highdimensional space and the densities under this Gaussian are used to define a probability distribution over all the potential neighbors of the object.

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Stochastic Neighbor Embedding

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