Antonio Auffinger, Daniel Fletcher
Published 2023-04-07Version 1
We study the empirical measure of the output of the t-distributed stochastic neighbour embedding algorithm when the initial data is given by n independent, identically distributed inputs. We prove that under certain assumptions on the distribution of the inputs, this sequence of measures converges to an equilibrium distribution, which is described as a solution of a variational problem.
Comments: 28 pages, 1 figure
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