24 August 1998 ART2 neural network clustering for hierarchical simulation
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Guo, Yang Guo, Xianghong Yin, Xianghong Yin, Weibo Gong, Weibo Gong, "ART2 neural network clustering for hierarchical simulation", Proc. SPIE 3369, Enabling Technology for Simulation Science II, (24 August 1998); doi: 10.1117/12.319351; https://doi.org/10.1117/12.319351


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