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Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/158754
Title: Semi-supervised clustering with active constraint selection
Authors: Novoselova, N. A.
Tom, I. E.
Keywords: ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика
ЭБ БГУ::ОБЩЕСТВЕННЫЕ НАУКИ::Информатика
ЭБ БГУ::ТЕХНИЧЕСКИЕ И ПРИКЛАДНЫЕ НАУКИ. ОТРАСЛИ ЭКОНОМИКИ::Медицина и здравоохранение
Issue Date: 2016
Publisher: Minsk: Publishing Center of BSU
Abstract: The paper presents the new approach to the semi-supervised fuzzy clustering, which is based on the extended optimization function and the proposed procedure to the active constraints selection. The approach is tested on the artificial and real data sets. Clustering results, obtained by proposed approach, are more accurate relative to the ground truth due to utilization of the additional information about class labels and its active selection.
URI: http://elib.bsu.by/handle/123456789/158754
Appears in Collections:2016. PATTERN RECOGNITION AND INFORMATION PROCESSING (PRIP’2016)

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