文件名称:non-linearSVMmulti-classification

  • 所属分类:
  • 数值算法/人工智能
  • 资源属性:
  • [Matlab] [源码]
  • 上传时间:
  • 2012-11-26
  • 文件大小:
  • 234kb
  • 下载次数:
  • 0次
  • 提 供 者:
  • SVM***
  • 相关连接:
  • 下载说明:
  • 别用迅雷下载,失败请重下,重下不扣分!

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转发一个可视化的非线性支持向量机多分类源码,比较实用易学,值得进一步深入开发。-non-linear SVM multi-classification
(系统自动生成,下载前可以参看下载内容)

下载文件列表

non-linear SVM multi-classification\1.mat

...................................\111.jpg

...................................\cerror.asv

...................................\cerror.m

...................................\data\c2s.m

...................................\....\check2ddata.asv

...................................\....\check2ddata.m

...................................\....\created.asv

...................................\....\created.m

...................................\....\createdata.asv

...................................\....\createdata.m

...................................\....\loadsets.asv

...................................\....\loadsets.m

...................................\....\loadsets2.m

...................................\....\noname.mat

...................................\....\plotdata2.m

...................................\demosvm.asv

...................................\demosvm.fig

...................................\demosvm.m

...................................\function\bsvm2.m

...................................\........\bsvm2.m~

...................................\........\bsvm2_mex.dll

...................................\........\bsvm2_mex.mexglx

...................................\........\mvsvmclass.m

...................................\........\noname.mat

...................................\........\oaasvm.asv

...................................\........\oaasvm.m

...................................\........\oaasvm.m~

...................................\........\oaosvm.m

...................................\........\smo.m

...................................\........\smo_mex.dll

...................................\........\smo_mex.mexglx

...................................\........\svmclass.m

...................................\GUI_Designs\Multi_BSVM__L2_soft_margi.fig

...................................\...........\Multi_BSVM__L2_soft_margi.m

...................................\...........\OAA_Multi_C_SVM.asv

...................................\...........\OAA_Multi_C_SVM.fig

...................................\...........\OAA_Multi_C_SVM.m

...................................\...........\OAO_Multi_SVM.asv

...................................\...........\OAO_Multi_SVM.fig

...................................\...........\OAO_Multi_SVM.m

...................................\kernels\kernel.asv

...................................\.......\kernel.c

...................................\.......\kernel.dll

...................................\.......\kernel.m

...................................\.......\kernel.mexglx

...................................\.......\kernelproj.m

...................................\.......\kernelproj_mex.c

...................................\.......\kernelproj_mex.c~

...................................\.......\kernelproj_mex.dll

...................................\.......\kernelproj_mex.mexglx

...................................\.......\kernel_fun.c

...................................\.......\kernel_fun.h

...................................\noname.mat

...................................\pentagon.mat

...................................\stprpath.asv

...................................\stprpath.m

...................................\SVM.fig

...................................\SVM.m

...................................\visual\fig2jpg.m

...................................\......\marker_color.m

...................................\......\marker_type.m

...................................\......\pboundary.m

...................................\......\ppatterns.m

...................................\data

...................................\function

...................................\GUI_Designs

...................................\kernels

...................................\visual

non-linear SVM multi-classification

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