A Dirichlet process mixture model avoids fixing the number of occupied functions. Let be the finite-dimensional Gaussian process law on the common input grid and specifyA draw from a Dirichlet process is almost surely discrete, so several coincide and thereby form clusters. The number of occupied clusters is random and can grow with the data.
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