No relation of all this to fractals is known, but in my work I've found that they do have a common property, that is, a non-integer dimension (at some scale).
所有这些与分形学之间的联系还是不可知的,但是我在研究中已经发现它们之间确实存在共性,即都具有非整数维(在同样尺度下)。
For example, if you request a scale of 2.0, your object will be 200 percent larger than the original (in each dimension).
例如,如果您请求缩放2.0,那么您的对象将比原始图像增大200%(各个方向)。
And the data doesn't need to be "big" to be valuable, though scale is certainly a helpful dimension when working to create defensible data barriers.
数据的价值高低与量的大小没有关系,当然量这个因素在生成可靠的数据使用门槛时还是能起到一定的作用。
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