An Improved FCM Algorithm Based on Subtractive Clustering for Power Load Classification

Rui Dong; Mingxiang Huang
July 2014
Advanced Materials Research;2014, Vol. 986-987, p206
Academic Journal
FCM is used in many power load classification currently, but it also has some shortcomings. This paper give an algorithm based on Subtractive Clustering and improved Fuzzy C-means Clustering (SUB-FCM) to solve this problem. This algorithm use subtractive clustering to initialize the cluster center matrix, solve the random initialization of FCM, and improve the global search ability, avoid falling into local optima. Experimental analysis found this algorithm also could accelerate the convergence speed, and has better clustering results. It can be applied to power load classification effectively.


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