no code implementations • 1 Dec 2023 • Serhiy Balovsyak, Oleksandr Derevyanchuk, Hanna Kravchenko, Yuriy Ushenko, Zhengbing Hu
The obtained clusters are described by fuzzy triangular membership functions, which allowed to correctly determine the membership of each student to a certain cluster.
no code implementations • 3 Feb 2017 • Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
A task of clustering data given in the ordinal scale under conditions of overlapping clusters has been considered.
no code implementations • 13 Jan 2017 • Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Viktoriia O. Samitova
A fuzzy clustering algorithm for multidimensional data is proposed in this article.
no code implementations • 20 Oct 2016 • Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
An evolving weighted neuro-neo-fuzzy-ANARX model and its learning procedures are introduced in the article.
no code implementations • 20 Oct 2016 • Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
A new approach to data stream clustering with the help of an ensemble of adaptive neuro-fuzzy systems is proposed.
no code implementations • 20 Oct 2016 • Zhengbing Hu, Yevgeniy V. Bodyanskiy, Oleksii K. Tyshchenko, Olena O. Boiko
Neo-fuzzy elements are used as nodes for an evolving cascade system.