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粗糙集算法的实现
麻烦高手帮我连通,去年的逼设,应该可以用,但我太菜不会!-Rough Set Algorithm of trouble to help me master connectivity, the force set up last year, should be used, but I would not be too dish!
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粗糙集的相关算法
最近研究这方面的内容
希望有用可以帮到大家,Rough Set algorithm recent studies related to the contents of this area seek to help can help you
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粗糙集中用于数据约简的算法的matlab源代码-Rough set theory for data reduction algorithm matlab source code
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粗糙集约简的matlab算法,包含了基本的约简算法-Rough Set Theory and matlab algorithm, including the basic reduction algorithm
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基于粗糙集的知识约简算法和采用回归进行的知识约简表示-Based on Rough Set Knowledge Reduction Algorithm and the use of regression express the knowledge reduction
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数据挖掘技术-粗糙集属性约减算法，对其描述以及算法实现！-rough set algorithm
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粗糙集属性约简算法，共计52页，包括代码及应用说明，有需要的欢迎下载-Rough set attribute reduction algorithm, for a total of 52, including code and application notes, there is a need to download the welcome
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可嵌入weka 的粗糙集分类算法程序
-Can be embedded in the rough set classification algorithm weka program
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sar is a Rough Set-based Attribute Reduction (aka Feature Selection) implementation. This is an implementation of ideas described, among other places, in the following paper:
Qiang Shen and Alexios Chouchoulas, A Modular Approach to Generating Fu
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基于粗糙集的特征子集筛选的一种算法-Based on rough set feature subset selection of an algorithm! ! !
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有关粗糙集算法的实现，里面有多个粗糙集的变种版本，学习粗糙集的好工具-On rough set algorithm, there are multiple versions of a variant of rough sets, rough sets a good tool for learning
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基于粗糙集的负载均衡算法研究Load balancing based on rough set algorithm-Load balancing based on rough set algorithm
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基于粗糙集属性约简的算法，不错，可以-Rough set attribute reduction algorithm, a good
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粗糙集理论是一种基于对现实世界进行不确定描述的理论,属性约简是粗糙集理论的核心理论之一。对粗糙集理论进行阐述,并给出基于启发式的知识约简算法,最后结合MATLAB程序实例说明了该算法的可行性与有效性。-Rough set theory is based on the uncertainty of the real world is described in theory, attribute reduction is the core theory of rough set theory one
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Rough Set Reduction algorithm source code
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基于粗糙集的图像语义自动标注分类算法代码-Image semantic auto-tagging based on rough set classification algorithm code
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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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利用基于排序的邻域粗糙集算法对具有高维属性的元数据进行属性约简，删减多余的无关属性，避免模型的过拟合，提高模型预测精度和模型运算速度-The algorithm based on the ordered neighborhood rough set is used to reduce the attributes of the high dimension attributes, to eliminate the redundant irrelevant attributes, to avoid
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在粗糙集与粒计算中，对于常见的几种非线性规划的函数，运用PSO算法求出了相应的决策属性的权重(In rough set and granular computing, PSO algorithm is used to calculate the weights of the corresponding decision attributes for the common functions of nonlinear programming)
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