• 大小: 119KB
    文件类型: .zip
    金币: 1
    下载: 0 次
    发布日期: 2021-01-10
  • 语言: Matlab
  • 标签: MATLAB  svm工具箱  

资源简介

MATLAB实现的lssvm工具箱,为最新版本1.8,2013年09月最新上传。可实现多类分类和曲线拟合,适用Windows 及Linux 32位系统

资源截图

代码片段和文件信息

function [featureseigveceigvals] = AFEm(Xskernel kernel_parsXtypenbeigveceigvals)
% Automatic Feature Extraction by Nystrom method
%
%
% >> features = AFE(X kernel sig2 Xt)
%
% Description
% Using the Nystr�m approximation method the mapping of data to
% the feature space can be evaluated explicitly. This gives the
% features that one can use for a linear regression or
% classification. The decomposition of the mapping to the feature
% space relies on the eigenvalue decomposition of the kernel
% matrix. The Matlab (‘eigs‘) or Nystr�m‘s (‘eign‘) approximation
% using the nb most important eigenvectors/eigenvalues can be
% used. The eigenvalue decomposition is not re-calculated if it is
% passed as an extra argument. This routine internally calls a cmex file.
%

 属性            大小     日期    时间   名称
----------- ---------  ---------- -----  ----
     目录           0  2011-08-11 12:46  LSSVMlabv1_8_R2009b_R2011a\
     文件        3437  2011-06-29 20:31  LSSVMlabv1_8_R2009b_R2011a\AFEm.m
     文件        5785  2010-09-20 20:16  LSSVMlabv1_8_R2009b_R2011a\bay_errorbar.m
     文件        1998  2010-09-20 20:17  LSSVMlabv1_8_R2009b_R2011a\bay_initlssvm.m
     文件       10339  2010-09-20 20:17  LSSVMlabv1_8_R2009b_R2011a\bay_lssvm.m
     文件        8187  2003-02-21 22:39  LSSVMlabv1_8_R2009b_R2011a\bay_lssvmARD.m
     文件        9358  2003-02-21 22:39  LSSVMlabv1_8_R2009b_R2011a\bay_modoutClass.m
     文件        5843  2011-07-06 17:55  LSSVMlabv1_8_R2009b_R2011a\bay_optimize.m
     文件        4312  2009-10-27 21:55  LSSVMlabv1_8_R2009b_R2011a\bay_rr.m
     文件        1479  2010-10-18 20:48  LSSVMlabv1_8_R2009b_R2011a\bitreverse32.m
     文件        5576  2010-09-20 20:31  LSSVMlabv1_8_R2009b_R2011a\changelssvm.m
     文件        4744  2011-08-11 12:55  LSSVMlabv1_8_R2009b_R2011a\cilssvm.m
     文件        4245  2010-09-20 20:38  LSSVMlabv1_8_R2009b_R2011a\code.m
     文件        2107  2011-06-29 20:47  LSSVMlabv1_8_R2009b_R2011a\codedist_bay.m
     文件         753  2011-06-29 20:47  LSSVMlabv1_8_R2009b_R2011a\codedist_hamming.m
     文件        2015  2010-09-20 20:42  LSSVMlabv1_8_R2009b_R2011a\codedist_loss.m
     文件        4126  2009-11-26 21:01  LSSVMlabv1_8_R2009b_R2011a\codelssvm.m
     文件        5194  2011-06-29 20:48  LSSVMlabv1_8_R2009b_R2011a\code_ECOC.m
     文件         548  2011-06-29 20:47  LSSVMlabv1_8_R2009b_R2011a\code_MOC.m
     文件         361  2011-06-29 20:47  LSSVMlabv1_8_R2009b_R2011a\code_OneVsAll.m
     文件         576  2011-06-29 20:47  LSSVMlabv1_8_R2009b_R2011a\code_OneVsOne.m
     文件        5847  2011-08-15 18:53  LSSVMlabv1_8_R2009b_R2011a\crossvalidate.m
     文件        3941  2011-08-15 18:53  LSSVMlabv1_8_R2009b_R2011a\crossvalidatelssvm.m
     文件        3188  2011-06-29 20:46  LSSVMlabv1_8_R2009b_R2011a\csa.m
     文件        3461  2011-06-29 20:44  LSSVMlabv1_8_R2009b_R2011a\democlass.m
     文件        2147  2011-07-29 15:10  LSSVMlabv1_8_R2009b_R2011a\democonfint.m
     文件        3972  2011-06-29 20:44  LSSVMlabv1_8_R2009b_R2011a\demofun.m
     文件        4772  2011-06-29 20:44  LSSVMlabv1_8_R2009b_R2011a\demomodel.m
     文件        2299  2011-06-29 20:44  LSSVMlabv1_8_R2009b_R2011a\demomulticlass.m
     文件        2251  2011-06-29 20:45  LSSVMlabv1_8_R2009b_R2011a\demo_fixedclass.m
     文件        3233  2011-06-29 20:44  LSSVMlabv1_8_R2009b_R2011a\demo_fixedsize.m
............此处省略52个文件信息

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