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

Détails bibliographiques
Parent link:	Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Auteur principal:	Arysheva K. S. Kseniya Sergeevna
Collectivité auteur:	Национальный исследовательский Томский политехнический университет (ТПУ) Центр "Электронный университет" (ЦЭУ) Отдел портальных решений (ОПР)
Résumé:	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
Langue:	anglais
Publié:	2014
Sujets:	электронный ресурс труды учёных ТПУ data clustering fuzzy clustering mountain clustering fuzzy logic нечеткая логика кластеризация
Accès en ligne:	http://dx.doi.org/10.1109/MEACS.2014.6986882
Format:	Électronique Chapitre de livre
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

Description
Résumé:	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

Documents similaires