ART2 neural network clustering for hierarchical simulation
Yang Guo, Xianghong Yin, Weibo Gong · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
In this paper, we propose to employ the ART2 neural network to cluster the high dimensional vectors for the preservation of statistics in hierarchical simulation. The experiments show that ART2 serves this purpose quite well. The inter- and intra-cluster difference calculated indicated that ART2 clusters data according to Euclidean distance 'approximately'. The numerical results also indicate that the 'vigilance parameter' determines the degree of similarity of vectors in the same cluster by controlling the entire variation.