Paper

Stochastic Neighbor Embedding

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.

Authors: Geoffrey E. Hinton · Sam T. Roweis

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