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We consider clustering problems involving functional data where we have a collection of functions, each viewed as a process realization, e.g., a random curve or surface.We introduce the notion of global and local clustering, which motivate the need for modeling with a discrete-valued stochastic process that we name the Dirichlet labeling process.