An Improved FCM Algorithm Based on Subtractive Clustering for Power Load Classification
In view of the weaknesses of Fuzzy C-means Clustering algorithm (FCM) applied in many power load classification currently,this paper proposes an algorithm based on subtractive clustering and improved Fuzzy C-means Clustering (SUB-FCM).This algorithm,using subtractive clustering algorithm to initialize the cluster center matrix,solves the random initialization of FCM algorithm,improves the global search ability,and avoids falling into local optima.Experimental study analysis finds that this algorithm can also accelerate the convergence speed,and have better clustering results.This algorithm can be applied to power load classification effectively.
power load classificationsubtractive clusteringfuzzy C-means algorithm(FCM)
NETL
NSTL
万方数据
维普
