Рассмотрены основные методы нечеткой кластеризации и их применение для структурной идентификации кусочно-линейных функций и нечетких моделей с тремя видами...

Matrices of binary or count data are modelled under a unified statistical framework using finite mixtures to group the rows and/or columns. These likelihood-based one-mode and two-mode fuzzy clusterings provide maximum likelihood estimation of parameters and the options of using likelihood ratio...

This article proposes a multidimensional empirical classification of higher education systems on the basis of several institutional characteristics, which are likely to affect student participation and social inequality (tracking, expenditures, structural differentiation, institutional autonomy...