Title :
Study on fuzzy clustering algorithm
Author_Institution :
Electr. Eng. Dept., Shanghai Maritme Univ., Shanghai, China
Abstract :
The traditional clustering algorithms and the basic idea were studied, and the algorithm of the c-maximum clustering and the fuzzy c-maximum clustering were presented. A set of programs development with computer for the whole theory have been worked out which makes it possible to achieve the goal of diagnosis on-line fault.
Keywords :
fault diagnosis; fuzzy set theory; pattern clustering; c-maximum clustering; fuzzy c- maximum clustering; fuzzy clustering algorithm; online fault diagnosis; programs development; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Equations; Fault diagnosis; Flowcharts; Propulsion;
Conference_Titel :
Methods and Models in Automation and Robotics (MMAR), 2011 16th International Conference on
Conference_Location :
Miedzyzdroje
Print_ISBN :
978-1-4577-0912-8
DOI :
10.1109/MMAR.2011.6031367
