4.SVM分类算法.rar

  • 连晓
    了解作者
  • matlab
    开发工具
  • 2MB
    文件大小
  • rar
    文件格式
  • 0
    收藏次数
  • 1 积分
    下载积分
  • 2
    下载次数
  • 2021-02-12 22:20
    上传日期
svm算法 matlab基础教程,适合新手学习入门........
4.SVM分类算法.rar
内容介绍
<html xmlns="http://www.w3.org/1999/xhtml"> <head> <meta charset="utf-8"> <meta name="generator" content="pdf2htmlEX"> <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> <link rel="stylesheet" href="https://static.pudn.com/base/css/base.min.css"> <link rel="stylesheet" href="https://static.pudn.com/base/css/fancy.min.css"> <link rel="stylesheet" href="https://static.pudn.com/prod/directory_preview_static/62669cc34c65f412593a0269/raw.css"> <script src="https://static.pudn.com/base/js/compatibility.min.js"></script> <script src="https://static.pudn.com/base/js/pdf2htmlEX.min.js"></script> <script> try{ pdf2htmlEX.defaultViewer = new pdf2htmlEX.Viewer({}); }catch(e){} </script> <title></title> </head> <body> <div id="sidebar" style="display: none"> <div id="outline"> </div> </div> <div id="pf1" class="pf w0 h0" data-page-no="1"><div class="pc pc1 w0 h0"><img class="bi x0 y0 w1 h1" alt="" src="https://static.pudn.com/prod/directory_preview_static/62669cc34c65f412593a0269/bg1.jpg"><div class="c x0 y1 w2 h2"><div class="t m0 x1 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">MA<span class="_ _0"></span>TLAB-LIBSVM<span class="_ _1"> </span><span class="ff2 sc1">&#23433;&#35013;&#21450;&#27979;&#35797;&#36807;&#31243;</span></div><div class="t m0 x2 h4 y3 ff1 fs1 fc0 sc0 ls0 ws0">libsvm<span class="_ _2"> </span><span class="ff2 sc1">&#30340;&#23433;&#35013;&#36807;&#31243;</span></div><div class="t m0 x3 h5 y4 ff2 fs2 fc0 sc0 ls0 ws0">&#25105;&#36873;&#25321;&#30340;&#26159;<span class="_ _3"> </span><span class="ff3">libsvm-3.1<span class="_ _3"> </span></span>&#29256;&#26412;&#65292;&#23433;&#35013;&#26159;&#27880;&#24847;&#38382;&#39064;&#26377;&#20197;&#19979;&#20960;&#28857;&#65306;</div><div class="t m0 x3 h5 y5 ff3 fs2 fc0 sc0 ls0 ws0">1<span class="ff2">&#12289;&#23558;<span class="_ _3"> </span></span>libsvm-3.1<span class="_ _3"> </span><span class="ff2">&#22797;&#21046;&#21040;<span class="_ _3"> </span></span>MA<span class="_ _0"></span>TLAB<span class="_ _3"> </span><span class="ff2">&#20013;&#30340;<span class="_ _3"> </span></span>toolbox<span class="_ _3"> </span><span class="ff2">&#20013;&#21435;</span></div><div class="t m0 x3 h5 y6 ff3 fs2 fc0 sc0 ls0 ws0">2<span class="_ _4"></span><span class="ff2">&#12289;<span class="_ _4"></span>&#35774;<span class="_ _4"></span>&#32622;<span class="_ _4"></span>&#36335;<span class="_ _4"></span>&#24452;<span class="_ _4"></span>&#12290;<span class="_ _4"></span>&#20855;<span class="_ _4"></span>&#20307;<span class="_ _4"></span>&#25805;<span class="_ _4"></span>&#20316;<span class="_ _4"></span>&#20026;<span class="_ _4"></span>&#25171;<span class="_ _4"></span>&#24320;<span class="_ _2"> </span></span>ma<span class="_ _4"></span>tl<span class="_ _5"></span>ab<span class="_ _4"></span><span class="ff2">&#65292;<span class="_ _4"></span>&#22312;<span class="_ _2"> </span></span>File<span class="_ _4"></span>-&gt;SetPath-&gt;A<span class="_ _5"></span>dd<span class="_ _4"></span> with<span class="_ _4"></span> Subfolders&#8230;<span class="_ _4"></span><span class="ff2">&#19979;<span class="_ _4"></span>&#28155;</span></div><div class="t m0 x2 h5 y7 ff2 fs2 fc0 sc0 ls0 ws0">&#21152;<span class="_ _3"> </span><span class="ff3">libsvm-3.1<span class="_ _3"> </span></span>&#30340;&#23384;&#25918;&#20301;&#32622;&#65292;&#28982;&#21518;&#28857;&#20987;<span class="_ _3"> </span><span class="ff3">Save</span>&#65292;&#20877;&#28982;&#21518;&#28857;&#20987;<span class="_ _3"> </span><span class="ff3">Close</span>&#12290;</div><div class="t m0 x4 h5 y8 ff3 fs2 fc0 sc0 ls0 ws0">3<span class="ff2">&#12289;&#22312;<span class="_ _3"> </span></span>command window<span class="_"> </span><span class="ff2">&#20013;&#36755;&#20837;<span class="_ _3"> </span></span>mex &#8211;setup<span class="ff2">&#65292;&#22238;&#25764;<span class="_ _4"></span>&#65292;&#23436;&#25104;</span>,<span class="_ _4"></span><span class="ff2">&#19981;&#38656;&#35201;&#22312;&#25805;&#20316;&#20102;&#12290;&#65288;&#27880;<span class="_ _4"></span>&#24847;<span class="_ _3"> </span></span>mex</div><div class="t m0 x2 h5 y9 ff2 fs2 fc0 sc0 ls0 ws0">&#21518;&#38754;&#26377;&#19968;&#20010;&#31354;&#26684;&#65289;<span class="ff3"> </span></div><div class="t m0 x4 h5 ya ff3 fs2 fc0 sc0 ls0 ws0">4. <span class="ff2">&#36816;&#34892;&#20027;&#31243;&#24207;&#12290;</span></div></div></div><div class="pi" data-data='{"ctm":[1.611850,0.000000,0.000000,1.611850,0.000000,0.000000]}'></div></div> </body> </html>
评论
    相关推荐
    • svm文本分类
      使用当前流行的Java语言,采用SVM算法进行文本分类
    • Python实现SVM分类算法
      Python实现SVM分类算法
    • SVM图像分类4
      SVM图像分类论文:基于SVM的离线图像目标分类算法、基于SVM的食物图像分类算法的研究
    • 基于二叉树SVM多类分类算法研究
      基于二叉树SVM多类分类算法研究文章对应的代码附件,基于二叉树SVM多类分类算法研究文章对应的代码附件,基于二叉树SVM多类分类算法研究文章对应的代码附件。
    • SVM分类算法代码及实验报告
      压缩包中包括SVM分类算法的实现代码、测试数据以及实验报告
    • 大白话SVM算法课程
      SVM之线性不可分时软间隔算法整体流程15_SVM之线性不可分时数据映射高维解决不可分问题16_SVM之线性不可分时核函数引入17_SVM之线性不可分时核函数讲解18_SVM代码之线性可分时和Logistic回归比较19_SVM代码之基于...
    • SVM算法C++代码
      该C++代码,有助于理解SVM算法,通俗易懂,附带两个标签类,成功实现正确分类,。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。
    • 线性分类算法
      SVM的简单数据分类N1=440; for i=1:N1 x1(1,i)=-1.7+0.9*randn(1); x1(2,i)= 1.6+0.7*randn(1); end; N2=400; for i=1:N2 x2(1,i)= 1.3+0.9*randn(1); x2(2,i)=-1.5+0.7*randn(1); end;
    • C++实现SVM分类算法
      SVM有如下特征:(1)SVM学习问题可以表示为凸优化问题,因此可以利用已知的有效算法发现目标函数...本代码通过C++实现SVM分类算法,并通过SSE实现最优解的快速计算,学习SVM的同学可以参考一下,如有不足,请指正。
    • matlabcnhelp.rar
      matlab中文帮助很难找的,快速下载