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Description: 属性约简的matlab代码：实现了基于信息熵、模糊信息熵；这些算法可以同时处理离散变量和数值变量，无须离散化。-Attribute Reduction of matlab code: to achieve based on information entropy, fuzzy information entropy these algorithms can deal with discrete variables and numerical variables without discretization.
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Size: 1746944 |
Author: 石永威 |
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Description: 一种基于启发式算法(互信息熵)的粗糙集约简源代码-A heuristic algorithm based on (mutual information entropy) Rough Jane intensive source code
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Size: 4104192 |
Author: 王京 |
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Description: 基于粗糙熵和K-均值聚类算法的图像分割 -Based on Rough Entropy and K-means clustering algorithm for image segmentation
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Size: 259072 |
Author: 张三 |
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Description: 基于粗糙熵和K-均值聚类算法的图像分割 基于粗糙熵和K-均值聚类算法的图像分割-Based on Rough Entropy and K-means clustering algorithm for image segmentation based on rough entropy and K-means clustering algorithm for image segmentation
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Size: 257024 |
Author: 张三 |
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Description: 基于粗糙熵的图像分割 根据pal的一篇文献编写的-Image Segmentation Based on Rough Entropy
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Size: 1024 |
Author: 盛春冬 |
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Description: 出了一种新的图像分割方法。这种分割方法首先利用粗糙集理论将图像按照一定的规则划分为
大小相等的若干图像子块，而后利用蒙特卡罗方法基本原理对划分的图像子块进行一定规模的随机抽样，以随机抽
样所得的图像子块为样本进行粗糙熵计算，用所得最大粗糙熵所对应的灰度值为分割阀值对图像进行分割，在采用
较小的图像子块划分以取得更好的分割效果的情况下，极大的提高了算法的分割速度。通过对测试图像的
MATLAB仿真试验验证了算法在降低计算机消耗方面的有效性，且所得的分割阀值也令人满意。-The image segmentation algorithm was presented．First of all，it divides the image into some equal SI‘Ze image sub
—pieces according with some rules，carries out certain scale random sampling on the image sub—pieces using Monte Carlo
Methods，and computes the rough entropy of the sample，and then divides the image by the image gray scale corresponding to the maximum rough entropy．The speed of the image segmentation is largely improved，while adopting the less image sub—
pieces to get better segmentation effect．And it has been confirmed in reducing the consumption of the computer is very effective in experiments using MATLAB，and the threshold is satisfied．
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Size: 373760 |
Author: 王文 |
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Description: 粗糙集中信息上与条件信息熵的计算代码程序，使用matlab编写而成的-The information entropy and cond entropy of rough set calculation code, and the use of matlab program,and that is all .
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Size: 283648 |
Author: yuyingchun |
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Description: 粗糙集属性约减的几种方法，包括基于正领域与信息熵等，简单通俗易懂。-Several methods of rough set attribute reduction, including the field of information based on positive entropy, simple easy to understand.
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Size: 14336 |
Author: 刘燕 |
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Description: Finally, the rough set is uated and the information entropy is obtained-Finally, the rough set is uated and the information entropy is obtained
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Size: 3072 |
Author: 刘小红 |
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Description: Finally, the rough set is uated by information entropy-Finally, the rough set is uated by information entropy
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Size: 4096 |
Author: 刘小红 |
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Description: 属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属
性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibility matrix, genetic algorithm and Johnson are expounded
The flow chart of attribute reduction algorithm, points out the existing problems and development trend of attribute reduction algorithms in rough sets, and promotes further development of attribute reduction in rough sets.)
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Size: 1459200 |
Author: 九月永生
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