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。
The algorithm can be directly applied to data mining, digital grid partitioning and estimation, data partitioning, digital terrain surface simplification, etc.
实现的算法可以直接应用于数据挖掘、数字网格划分与评估、数据分割、数值地形曲面的简化等问题。
The algorithm is impractical on large data sets, unless it USES dimensionality reduction, sampling, or partitioning - all of which reduce recommendation quality.
在大数据集的情况下，这样的算法不可行，除非使用维度降低、抽样或区隔——所有这些都降低了推荐的品质。
The speed of mining outliers from dataset is slow. According to the characteristic of grid, fast outliers mining algorithm was proposed by partitioning the data into a set of units cell firstly.
针对数据集中离群数据的挖掘速度的问题，提出了快速的基于单元格的离群数据挖掘算法。
The speed of mining outliers from dataset is slow. According to the characteristic of grid, fast outliers mining algorithm was proposed by partitioning the data into a set of units cell firstly.
针对数据集中离群数据的挖掘速度的问题，提出了快速的基于单元格的离群数据挖掘算法。
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