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How Complex Is a Fractal? Head/tail Breaks and Fractional Hierarchy

机译:一个分形有多复杂?分数等级

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A fractal bears a complex structure that is reflected in a scaling hierarchy, indicating that there are far more small things than large ones. This scaling hierarchy can be effectively derived using head/tail breaks-a clustering and visualization tool for data with a heavy-tailed distribution-and quantified by a head/tail breaks-induced integer, called ht-index, indicating the number of clusters or hierarchical levels. However, this integral ht-index has been found to be less precise for many fractals at their different phrases of development. This paper refines the ht-index as a fraction to measure the scaling hierarchy of a fractal more precisely within a coherent whole and further assigns a fractional ht-index-the fht-index-to an individual data value of a data series that represents the fractal. We developed two case studies to demonstrate the advantages of the fht-index, in comparison with the ht-index.We found that the fractional ht-index or fractional hierarchy in general can help characterize a fractal set or pattern in a much more precise manner. The index may help create intermediate map scales between two consecutive map scales.
机译:一个分形熊一个复杂的结构反映在缩放等级,表明有更小的比大的事情。这个比例的层次结构可以有效地使用头/尾作一个集群数据重尾分布的可视化工具头/尾分配产生量化叫做ht-index breaks-induced整数,显示集群的数量或等级的水平。发现少了许多分形的精确发展不同的短语。论文改进ht-index的一小部分衡量一个分形的缩放等级在一个连贯的整体,进一步精确分配一个分数ht-index-the fht-index-to单个数据值的数据系列代表了分形。研究证明的优点与ht-index fht-index,相比。发现部分ht-index或分数一般来说可以帮助描述层次结构分形集或更精确的模式的方式。两个连续的地图比例尺地图之间的尺度。

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