用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-

[{"title":"（ 38 个子文件 140KB ） 用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-","children":[{"title":"用MATLAB编写的svm源程序，可以实现支持向量机，用于特征分类或提取-MATLAB svm prepared by the source, can achieve a support vector machine for the feature classification or extract","children":[{"title":"svrplot.m <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false},{"title":"Optimiser","children":[{"title":"pr_loqo.c <span style='color:#111;'> 16.34KB </span>","children":null,"spread":false},{"title":"qp.c <span style='color:#111;'> 7.08KB </span>","children":null,"spread":false},{"title":"pr_loqo.h <span style='color:#111;'> 2.33KB </span>","children":null,"spread":false},{"title":"qp.dll <span style='color:#111;'> 48.00KB </span>","children":null,"spread":false},{"title":"Makefile <span style='color:#111;'> 27B </span>","children":null,"spread":false}],"spread":true},{"title":"cmap.mat <span style='color:#111;'> 1.69KB </span>","children":null,"spread":false},{"title":"svtol.m <span style='color:#111;'> 401B </span>","children":null,"spread":false},{"title":"uiregress.mat <span style='color:#111;'> 11.37KB </span>","children":null,"spread":false},{"title":"Contents.m <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false},{"title":"svcplot.m <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"Examples","children":[{"title":"Classification","children":[{"title":"linsep.mat <span style='color:#111;'> 672B </span>","children":null,"spread":false},{"title":"iris2v13.mat <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"nlinsep.mat <span style='color:#111;'> 712B </span>","children":null,"spread":false},{"title":"iris3v12.mat <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false},{"title":"iris1v23.mat <span style='color:#111;'> 2.63KB </span>","children":null,"spread":false}],"spread":true},{"title":"Regression","children":[{"title":"titanium.mat <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"example.mat <span style='color:#111;'> 744B </span>","children":null,"spread":false},{"title":"sinc.mat <span style='color:#111;'> 1.03KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"uiclass.m <span style='color:#111;'> 5.26KB </span>","children":null,"spread":false},{"title":"uiregress.m <span style='color:#111;'> 5.50KB </span>","children":null,"spread":false},{"title":"svrerror.m <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"svcinfo.m <span style='color:#111;'> 1.20KB </span>","children":null,"spread":false},{"title":"svkernel.m <span style='color:#111;'> 2.55KB </span>","children":null,"spread":false},{"title":"centrefig.m <span style='color:#111;'> 144B </span>","children":null,"spread":false},{"title":"svdatanorm.m <span style='color:#111;'> 1.27KB </span>","children":null,"spread":false},{"title":"nobias.m <span style='color:#111;'> 457B </span>","children":null,"spread":false},{"title":"svc.m <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false},{"title":"binomial.m <span style='color:#111;'> 371B </span>","children":null,"spread":false},{"title":"svroutput.m <span style='color:#111;'> 711B </span>","children":null,"spread":false},{"title":"uiclass.mat <span style='color:#111;'> 12.30KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 2.58KB </span>","children":null,"spread":false},{"title":"newsvm.zip <span style='color:#111;'> 74.74KB </span>","children":null,"spread":false},{"title":"softmargin.m <span style='color:#111;'> 312B </span>","children":null,"spread":false},{"title":"svr.m <span style='color:#111;'> 3.89KB </span>","children":null,"spread":false},{"title":"svcoutput.m <span style='color:#111;'> 973B </span>","children":null,"spread":false},{"title":"qp.dll <span style='color:#111;'> 48.00KB </span>","children":null,"spread":false},{"title":"svcerror.m <span style='color:#111;'> 837B </span>","children":null,"spread":false}],"spread":false}],"spread":true}]