现代社会越来越依赖无边界网络环境下的大规模的高度分布的信息系统，因此这些信息系统的生存力应该引起关注。
Modern society increasingly depends on large-scale unbounded networked systems to conduct business, government, and defense. Survivability of these systems is receiving increasing attention.
本文通过利用涌现自组织特征映射神经网络对数据进行聚类分析，并通过无边界u矩阵实现可视化功能。
To facilitate clustering analysis and visualization of data, the Emergent Self-Organizing Feature Maps (ESOM) and a boundless U-matrix are needed.
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