Browsing by Subject "Fuzzy reasoning"

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  • Niskanen, Vesa A. (Springer-Verlag, 2017)
    Studies in Computational Intelligence
    A rapid soft computing method for dimensionality reduction of data sets is presented. Traditional approaches usually base on factor or principal component analysis. Our method applies fuzzy cluster analysis and approximate reasoning instead, and thus it is also viable to nonparametric and nonlinear models. Comparisons are drawn between the methods with two empiric data sets.