Fuzzy logic and the mountain clustering; Mechanical Engineering, Automation and Control Systems (MEACS)

Bibliographic Details
Parent link:	Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Main Author:	Arysheva K. S. Kseniya Sergeevna
Corporate Author:	Национальный исследовательский Томский политехнический университет (ТПУ) Центр "Электронный университет" (ЦЭУ) Отдел портальных решений (ОПР)
Summary:	Title screen The mountain clustering method is based on fuzzy logic and is used to localize clusters in data sets that have clustering tendencies. This article gives valuable background and details of fuzzy logic and the main steps of fuzzy clustering. The focus is on modification of mountain clustering and its mathematical basis. The paper also presents implementation and test results of the modified mountain clustering method with different inputs. Режим доступа: по договору с организацией-держателем ресурса
Language:	English
Published:	2014
Subjects:	электронный ресурс труды учёных ТПУ data clustering fuzzy clustering mountain clustering fuzzy logic нечеткая логика кластеризация
Online Access:	http://dx.doi.org/10.1109/MEACS.2014.6986882
Format:	Electronic Book Chapter
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

Description
Summary:	Title screen The mountain clustering method is based on fuzzy logic and is used to localize clusters in data sets that have clustering tendencies. This article gives valuable background and details of fuzzy logic and the main steps of fuzzy clustering. The focus is on modification of mountain clustering and its mathematical basis. The paper also presents implementation and test results of the modified mountain clustering method with different inputs. Режим доступа: по договору с организацией-держателем ресурса
DOI:	10.1109/MEACS.2014.6986882

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