On mode estimation in pattern recognition

Abstract
A procedure for determining the modes of a continuous univariate probability density function (p.d.f.) is suggested. Inherent in this procedure is the use of a new nonparametric estimate of the p.d.f. An extension of this method to the multidimensional case is posed and some results of the procedure applied to real data problems are presented.

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