Title :
Fuzzy logic and the mountain clustering
Author :
Arysheva, Ksenya S.
Author_Institution :
Inst. of Cybern., Tomsk Polytech. Univ., Tomsk, Russia
Abstract :
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.
Keywords :
fuzzy logic; pattern clustering; fuzzy clustering; fuzzy logic; mountain clustering; Clustering algorithms; Convergence; Distributed computing; Libraries; MATLAB; Uniform resource locators; Data clustering; fuzzy clustering; fuzzy logic; mountain clustering;
Conference_Titel :
Mechanical Engineering, Automation and Control Systems (MEACS), 2014 International Conference on
Conference_Location :
Tomsk
Print_ISBN :
978-1-4799-6220-4
DOI :
10.1109/MEACS.2014.6986882
