为实现具有工程化特征的数字成图生产工艺奠定完备的分类参数模型基础。

It also lays a complete foundation for classifying parameter model in order to realize digital mapping technology with engineering feature.

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由于原始海量数据规模较大，聚类算法难以实现，而且聚类分析有时候只考虑关键属性作为分类参数。

The scale of original data is very large. It is difficult to realize the clustering algorithm. Clustering analysis often takes the key attributes as classification parameters.

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在 24 种 NFS 可调参数中，已经有 21 种被分类为受限制的（请参见 清单 16）。

Of the 24 NFS tunables, 21 have been classified as restricted (see Listing 16).

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