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经典的人脸识别算法.求相关的模糊粗糙集属性约简的MATLAB源程序.急!谢谢.-classic face recognition algorithm. For the fuzzy rough set reduction MATLAB source. Desperate! Thank you.
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REDUCT_PAWLAK 基于Pawlak属性重要度的属性约简算法-Key property REDUCT_PAWLAK based on Pawlak Attribute Reduction Algorithm
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提出一种基于属性依赖度的粗糙集属性约简方法-A dependence on properties of rough set attribute reduction method
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粗糙集中一种属性约简的算法C++的代码,不是工程文件,是文档-A kind of rough set attribute reduction algorithm for C++ code, not the project file is a document
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一种新的粗糙集属性约简及其应用,是毕业论文哦。从学校数据库中下的-A new rough set attribute reduction and its application, is the thesis oh. From school under the database
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粗糙集属性约简算法的代码,数据库中下载的算法-Rough set attribute reduction algorithm of the code, database, download the algorithm
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基于特征评估及约简的邻居粗糙集方法,可以用于粗糙集属性约简-Feature-based assessment and neighbors rough set reduction methods
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java编写的。对粗糙集信息的样本进行约简-written in java. Information on samples of rough set reduction
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粗糙集属性约简过程中的下近似及上近似域的matlab实现-Rough set attribute reduction under the approximation of the process and on the realization of similar domain matlab
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粗糙集理论的属性约简方法及应用研究,很有用的哈-Rough set attribute reduction method and application, very useful, ha! ! ! !
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关键词:文本分类 特征降维 规则抽取 模式聚合 粗糙集
-Keywords: text classification feature dimension reduction rule extraction model aggregation rough set
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引入能直接处理连续型数据的邻域粗糙集约简模型,给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征,改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
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引入能直接处理连续型数据的邻域粗糙集约简模型,给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法-Introduce neighborhood rough set reduction model can deal directly with continuous data, given the feature selection algorithm based on neighborhood rough set model and particle swarm optimization
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基于Rough集理论的研究平台,集成了包括数据补齐、离散化、属性约简、值约简等30余种算法-Rough Set Theory-based research platform that integrates more than 30 algorithms including padded data, discretization, attribute reduction, value reduction, etc.
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将core.txt文件放在C盘根目录下,然后打开matlab,点击“文件”-“打开”选中main.m文件,“运行”这个文件。
命令窗口马上就会显示出运行结果。
mm_Red.m为封装的盲目约简算法.返回值为约简结果.
sxzyd_Red为封装的基于属性重要度约简算法.返回值为约简结果.
bsjz_Red为封装的辨识矩阵约简算法.返回值为辨识矩阵和约简结果.
cal_sig为封装的求属性重要度的函数。
max_min为封装的求属性度最大,划分个数
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一个用于分析粗糙集的方法,实现启发式的属性约简-A method for the analysis of the rough set heuristic attribute reduction
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粗糙集约简的算法源码 包括rulewithattr.m,reductwithattr.m
lisanjua.m等-Rough set reduction algorithm source code, including rulewithattr.m, reductwithattr.m lisanjua.m etc.
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粗糙集属性约简相关论文,感觉不错,用来分享一下-Rough set attribute reduction related papers, I feel good, to share
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这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码,同学们可以在此基础上学习和修改,入口程序已经写好,需要其他方法可以自己添加,MAIN.m是入口程序,参数的意思在子函数里讲的很明白,调用了featureselect_FW_fast.m用来属性约简,几个clsf_dpd文件是使用不同的距离公式来计算属性重要度,选择得到属性结果,使用crossvalidate.m十折交叉算法来计算计算算法精度,该段代码调用了几个分类器,C4_5.m是决策树,KNN.m是最近邻分类器,NEC.m是类似于KNN的
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邻域粗糙集属性约简程序,约简方法为胡清华的前向贪心算法,包含求正域,属性重要度计算及最后约简出的重要属性。-Neighborhood rough set attribute reduction program, before the reduction method for qing-hua hu to the greedy algorithm, contains positive region, calculation and the reduction of attribute import
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