The fractal dimension of pore structure and size distribution are studied based on the capillary pressure data.
并根据毛管压力曲线资料计算了孔隙结构的分形维数和孔径大小概率密度分布。
The following example increases the size of the last dimension of a dynamic array without losing any existing data in the array, and then decreases the size with partial data loss.
下列范例会增加动态阵列中最后一个维度的大小，且不遗失阵列中任何现有的资料，接著以遗失部分资料减少阵列的大小。
The accurate intrinsic dimension estimation also profit to select an appropriate neighborhood size in data processing for avoiding dimensionality curse.
并且，在数据处理过程中，准确的本征维数估计对选取合适的邻域大小有很大的帮助，可以避免“维数灾难”。
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