On mode estimation in pattern recognition

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.