A new approach in mixed distributions detection

— Our aim is to detect in a given multivariate sample the possible présence oj sub-samples drawn from probability distributions of some known type. In the first paragraphe the Dynamic Clusters method is described in the gênerai case of unspecified kernels. Afterwards, it is applied to the above quoted problem of mixed distributions détection, taking probability distribution functions as kernels. As presented hère, the algorithm maximizes a likelihood criterion function.

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