算法的目的是为了支持MANET环境中的数据复制，通过分簇来预测网络分割，以提高数据访问的可用性。
The purpose of the clustering algorithm is to support the data replication for improving data availability at the point of network partitioning in the MANET environment.
为了改进当前社会化标注系统在标签浏览和检索方面的弱点，提出一种基于加权网络分割的社会性标签聚类算法。
This paper proposes a clustering algorithm of social tags based on weighed network division for the purpose of improving browsing and retrieval in existing social annotation system.
提出了一种脉冲耦合神经网络和最大相关准则相结合的算法来对图像进行分割。
The algorithm that segments images with pulse-coupled neural networks(PCNN) and two-dimension maximum correlation criterion(MCC) was presented.
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