搜索资源列表
clsf_dpd1
- 基于粗糙集和遗传算法的属性约简，包含核及不可区分关系等求解-Attribute reduction based on rough sets and genetic algorithm, including nuclear and indistinguishable relationship to solve
qijieju
- 七阶矩特征作为特征级融合至关重要的一个特征，提取七阶矩特征对于特征约简和模式识别很重要。-Seven moments of feature extraction is vital for the fusion of feature set, seven moments of feature extracting is very helpful for feature reduction and recognition.
code
- 人脸图像像素较高，不利于后续识别，里面有一些维数约简的算法，浙大蔡登写的-Face image pixels high, is not conducive to the subsequent recognition, there are some dimensionality reduction algorithms, Zhejiang written by Cai Deng
CuCao2ClassTrain
- 基于粗糙集的分类规则提取和分类规则约简。首先进行粗糙分类器训练，然后将复杂的分类规则降维成简单的分类规则，但分类精度不变。-Rough classification learning rules are trained and extracted based on rough sets and complex classification rules are dimensionally reduced into simple classification rules, but the class
rough-set-codes
- 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
kpca
- 基于核函数的非线性维数约简方法有基于核函数的主成分分(KPCA),本算法主要应用于过程监测、故障诊断等领域。-Kernel function based nonlinear dimensionality reduction method is based on kernel function (KPCA), which is mainly used in process monitoring, fault diagnosis and so on.
ReduceCore
- 利用Matlab实现的粗糙集约简，通过输入参数U、C、D，返回约简得到的Core函数。-Use rough sets reduction Matlab achieved via the input parameter U, C, D, Core function returns the reduction obtained.
Neighborhood-rough-set
- 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
CCE
- 周志华多标记学习代码 属性约简以及代价敏感测试-Zhou Zhihua multi-label learning codes
RoughSets(entropy-discritization)
- 基于信息熵的约简MATLAB代码，包含相关论文。-Based on information entropy reduction,matlab code, including related papers
Ordered-neighborhood-rough-set
- 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
Reduct1
- 本代码主要是粗糙集中，求解一般属性约简的过程-This code is mainly concentrated rough solving process generally attribute reduction
rblevayt-reduction
- 用语属性约简的程序包,相信对相关人员 有所帮助,-The package of attribute reduction and language, believe that will be helpful to relevant personnel,
genetic-algorithm
- 文章利用支持向量机进行财务危机模型类别化设定及样本类别化训练，获得基于SVM的财务危机 在风险程度差异化基础上的检验样本，由对应的检验样本形成分类别预警。研究基于风险预测类别化的线性 转化获得各类型层的训练样本支持向量，并向样本集进行基于遗传算法粗糙集属性约简的决策知识表达系统 预测层级化处理和最小二乘SVM（LS-SVM）的财务危机预测-Using genetic algorithm and support vector machine for financial analysis
基于信息熵的约简MATLAB代码
- 利用matlab和ceemd进行编程求解简单的信息熵，根据求解的imf分量判断信号的情况(Using MATLAB and ceemd programming to solve simple information entropy, according to the IMF component to determine the situation of the signal)
rough_set
- 对图像特征进行属性约简，找到最适合分类的特征。(Attribute reduction of image features, to find the most suitable features of classification)
Relief特征选择
- relief 特征选择算法，用来约简数据属性。图像处理等(Relief feature selection algorithm is used to reduce data attributes. Image processing, etc.)
PPP模式在环保产业中的应用研究_张玉
- 主观赋权法进行专家打分，数据约简，在毕业论文中用到，希望对大家有帮助(Subjective weighting method for expert scoring, data reduction, used in the thesis, and I hope to help everyone)
UCI
- 里面含有连续型数据集，离散型数据集以及混合型数据集可以用于属性约简，特征选择等算法的实验仿真。以及直接导入weka软件。(It contains continuous data sets, discrete data sets and mixed data sets, and can be used for the experimental simulation of attribute reduction and feature selection algorithms. And import
RoughSetReduct_Sln
- 粗糙集属性约简的算法，呵呵呵呵额好的发热时(rough set fdvgbsbsbsbdfnydnh)