模板网站的域名是什么,seo推广沧州公司电话,永州市规划建设局网站,网站群管理常用粗糙集特征选择#xff08;属性约简#xff09;的算法汇总
这些算法主要建立在粗糙集工具箱Feast,MIToolbox进行实现。工具箱的安装#xff1a;https://blog.csdn.net/qq_44822612/article/details/131816235
MIM#xff0c; MRMR#xff0c; MIFS#xff0c; CMIM…常用粗糙集特征选择属性约简的算法汇总
这些算法主要建立在粗糙集工具箱Feast,MIToolbox进行实现。工具箱的安装https://blog.csdn.net/qq_44822612/article/details/131816235
MIM MRMR MIFS CMIM JMI DISR CIFE ICAP CONDRED CMI RELIEF FCBF BETAGAMMA
以及以下各项的加权实现 MIM CMIM JMI DISR CMI
MRMR算法
selectedIndices feast(mrmr,10,data,labels) %mrmr算法选择10个特征H. Peng, F. Long, and C. Ding, “Feature selection based on mutual information criteria ofmax-dependency, max-relevance, and min-redundancy,”IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 8, pp. 1226–1238,Aug. 2005.
MIFS算法
selectedIndices feast(mifs,10,data,labels,0.7) %% 使用 beta 0.7 的 MIFS 算法选择前 10 个特征 R. Battiti, “Using mutual information for selecting features in supervised neural net learning,” IEEETrans. Neural Netw., vol. 5, no. 4, pp. 537–550, Jul. 1994.
FCBF算法
selectedIndices feast(fcbf,10,data,labels,0) %% 使用 beta 0 的 MIFS 算法选择前 10 个特征 L. Yu and H. Liu, “Efficient feature selection via analysis of relevance and redundancy,” J. Mach. Learn. Res., vol. 5, pp. 1205–1224, 2004.
