Study of fault cluster based on ART2 progressed algorithm
Yang Yi-zhan · Computer Engineering and Applications Journal · 2008
The Adaptive Resonance Theory 2(ART2),processing the analog signals of input patterns,is one of unsupervised clustering algorithms in neural networks.ART2 can reduce the pretreatment complexity of original data in data mining and improve the efficiency of mining.A progressed algorithm of ART2 which is composed of ART2 algorithm and K-Means algorithm can restrain cluster centers drift which is one of disadvantages of ART2 is developed.This method has been proved by simulation.