A clustering algorithm based on density and partitioning method is presented according to the analysis of the strengths and weaknesses of traditional clustering algorithms.
在分析常用聚类算法的特点和适应性基础上提出一种基于密度与划分方法的聚类算法。
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.
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。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
Partitioning method is a clustering algorithm, which is sensible to initial partitions (values of k), initial values and input sequence.
划分方法的缺点是要求事先给定聚类结果数，对初始划分和输入顺序敏感等。
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