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NONPARAMETRIC ALGORITHM OF AUTOMATIC CLASSIFICATION OF STATISTICAL DATA

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A nonparametric algorithm of automatic classification of statistical data is proposed. The algorithm is based on probability density estimations of Parzen type. Application of the algorithm allows for selection of compact point sets corresponding to unimodal fragments of the probability density.

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