研究结果表明，按照提出的方法产生的复杂网络具有短的平均路径长度、较高的平均聚类系数、具备明显的齐次网络特性。
Our research shows that the complex network produced by our method has short average path length, high clustering coefficient, and some typical characters of a homogeneous network.
该文首先给出了离群数据的量化定义，并用基于蚁群的聚类学习方法，产生了状态空间的整体特征。
A quantitative definition is proposed at the beginning of this paper. The integral character of the state space is created using the clustering method based on ant colony.
然而，聚类是一个综合性的难题，且不同领域的不同要求使得有用的概念及方法的产生非常缓慢。
However, clustering is a difficult and combinatorial problem, and different request in different communities has made the transfer of useful generic concepts and methodologies slow to occur.
然而，聚类是一个综合性的难题，且不同领域的不同要求使得有用的概念及方法的产生非常缓慢。
However, clustering is a difficult and combinatorial problem, and different request in different communities has made the transfer of useful generic concepts and methodologies slow to occur.
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