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

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

Detalhes bibliográficos
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Autor principal: Arysheva K. S. Kseniya Sergeevna
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Центр "Электронный университет" (ЦЭУ) Отдел портальных решений (ОПР)
Resumo: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
Idioma:inglês
Publicado em: 2014
Assuntos:
электронный ресурс
труды учёных ТПУ
data clustering
fuzzy clustering
mountain clustering
fuzzy logic
нечеткая логика
кластеризация
Acesso em linha:http://dx.doi.org/10.1109/MEACS.2014.6986882
Formato: Recurso Electrónico Capítulo de Livro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

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