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Equilibrium Distribution for t-Distributed Stochastic Neighbor Embedding with Generalized Kernels

Gu, Yi et al.
arXiv (All) · Papers
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machine-learningprobabilitystatistics-theory
We study the large-sample variational problem for t-distributed stochastic neighbor embedding with a class of input and output kernels. The input law has compact support and a density continuous on that support. An entropy equation determines the scale parameter in the input kernel, and we prove tha
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