28 August 1995 New AFCM clustering algorithm
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Proceedings Volume 2620, International Conference on Intelligent Manufacturing; (1995) https://doi.org/10.1117/12.217542
Event: International Conference on Intelligent Manufacturing, 1995, Wuhan, China
Abstract
This paper proposes an improvement of the approximate fuzzy c-means (AFCM) clustering algorithm, called BAFCM, that is based on a fast method for edge detection using fuzzy sets which is used to initialize the c clusters effectively. Our results show that the BAFCM requires about half as much computer time as the AFCM while yielding the same accuracy as the AFCM. One may use BAFCM to accelerate AFCM processing.
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Luping Xu, Luping Xu, Weixing Xie, Weixing Xie, Wenhua Li, Wenhua Li, } "New AFCM clustering algorithm", Proc. SPIE 2620, International Conference on Intelligent Manufacturing, (28 August 1995); doi: 10.1117/12.217542; https://doi.org/10.1117/12.217542
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