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

Dettagli Bibliografici
Parent link:	Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autore principale:	Arysheva K. S. Kseniya Sergeevna
Ente Autore:	Национальный исследовательский Томский политехнический университет (ТПУ) Центр "Электронный университет" (ЦЭУ) Отдел портальных решений (ОПР)
Riassunto:	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
Lingua:	inglese
Pubblicazione:	2014
Soggetti:	электронный ресурс труды учёных ТПУ data clustering fuzzy clustering mountain clustering fuzzy logic нечеткая логика кластеризация
Accesso online:	http://dx.doi.org/10.1109/MEACS.2014.6986882
Natura:	MixedMaterials Elettronico Capitolo di libro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

Descrizione
Riassunto:	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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