Fuzzy logic and the mountain clustering

Fuzzy logic and the mountain clustering

書誌詳細
Parent link:Mechanical Engineering, Automation and Control Systems (MEACS): proceedings of the International Conference, Tomsk, 16-18 October, 2014/ National Research Tomsk Polytechnic University (TPU) ; Institute of Electrical and Electronics Engineers (IEEE). [4 p.].— , 2014
第一著者: Arysheva K. S. Kseniya Sergeevna
団体著者: Национальный исследовательский Томский политехнический университет (ТПУ) Центр "Электронный университет" (ЦЭУ) Отдел портальных решений (ОПР)
要約: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
出版事項: 2014
主題:
электронный ресурс
труды учёных ТПУ
data clustering
fuzzy clustering
mountain clustering
fuzzy logic
нечеткая логика
кластеризация
オンライン･アクセス:http://dx.doi.org/10.1109/MEACS.2014.6986882
フォーマット: 電子媒体 図書の章
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=639003

インターネット

http://dx.doi.org/10.1109/MEACS.2014.6986882

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