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

Bibliografiske detaljer
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS).— 2014.— [4 p.]
Hovedforfatter: Arysheva K. S. Kseniya Sergeevna
Institution som forfatter: 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
Sprog:engelsk
Udgivet: 2014
Fag:
Online adgang:http://dx.doi.org/10.1109/MEACS.2014.6986882
Format: MixedMaterials Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

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