Some properties of the classification algorithms using ensemble kernels | Sciact - Система учета научной деятельности ИМ СО РАН

Some properties of the classification algorithms using ensemble kernels Научная публикация

Конференция

International Conference «Marchuk Scientific Readings 2020», dedicated to the 95th anniversary of the birthday of RAS Academician Guri. I. Marchuk
19-23 окт. 2020 , Новосибирск

Журнал

Journal of Physics: Conference Series
ISSN: 1742-6588 , E-ISSN: 1742-6596

Вых. Данные

Год: 2021, Том: 1715, Номер: 1, Номер статьи : 012011, Страниц : DOI: 10.1088/1742-6596/1715/1/012011

Авторы

Odinokikh N. ¹ , Berikov V. ^1,2

Организации

1	Novosibirsk State University, Novosibirsk, Russian Federation
2	Sobolev Institute of Mathematics SB RAS, Novosibirsk, Russian Federation

Информация о финансировании (3)

1	Российский фонд фундаментальных исследований	19-29-01175
2	Российский фонд фундаментальных исследований	18-07-00600
3	Институт математики им. С.Л. Соболева СО РАН	0314-2019-0015

In this paper, we study the properties of the KCCE algorithm (Kernel-based Classification with Cluster Ensemble) proposed in our previous publication. Different strategies for choosing the ensemble weights are investigated from the point of view of their influence on the quality and speed of the algorithm. We perform numerical experiments with the algorithm on real datasets from the UCI repository under conditions of artificially added noise at different levels. © 2021 Institute of Physics Publishing. All rights reserved.

Odinokikh N. , Berikov V.
Some properties of the classification algorithms using ensemble kernels
Journal of Physics: Conference Series. 2021. V.1715. N1. 012011 . DOI: 10.1088/1742-6596/1715/1/012011 Scopus OpenAlex

Scopus:	2-s2.0-85100711322
OpenAlex:	W3120518310

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