Algorithms for sample and feature reduction are constructed based on the neighborhood model. Second, a kernelized fuzzy rough model is developed for rough computation with heterogeneous data.
第二,提出了混合数据分类分析的核模糊粗糙计算模型和算法。
参考来源 - 混合数据知识发现的粗糙计算模型和算法·2,447,543篇论文数据,部分数据来源于NoteExpress
但,记住,这只是一些粗糙的计算估计。
约简与核是粗糙集理论的两个重要概念,而直接由定义来计算约简与核是一个典型的NP难题。
Reduction and core are two important concepts in rough set theory, while computing reductions and core according to the definitions directly is a typical NP problem.
通过提取直方图的外层,以及计算像素点周围的局部模糊程度来更新粗糙度。
By extracting encrustation of histogram, and calculating partial fuzzy extent around pixels to update the fuzzy roughness.
But, remember, this is a very rough estimate.
但,记住,这只是一些粗糙的计算估计。
Now as I say, I made this calculation some years ago It doesn't really matter how inaccurate it's going to be As we'll see it's very rough but it makes the point ? How many people are there?
现在就像我说的,我很多年前做了这个计算,到底它有多不精确其实无所谓,我们会看到,这个计算很粗糙,但却给出了一个说明,有多少人?
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