SSA-PFCM Clustering Algorithm-based Anomaly Detection from Electric Big Data
Aiming at improving the reliability of electric networks data detection and addressing the high difficulty of de-termining clustering center of the conventional possibilistic fuzzy c-means clustering method(PFCM),this work made a preliminary attempt to establish an anomaly detection method by combining PFCM and the sparrow search algorithm(SSA).The use of SSA was to optimize the initial center of PFCM.The modified algorithm was verified through compara-tive simulation to be superior to the conventional algorithm.
万方数据
维普
