# 线性分类算法

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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;
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<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/626ba27c7ae5df2aa71875ac/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/626ba27c7ae5df2aa71875ac/bg1.jpg"><div class="c x0 y1 w2 h2"><div class="t m0 x1 h3 y2 ff1 fs0 fc0 sc0 ls0 ws0">&#20316;&#19994;<span class="_ _0"> </span><span class="ff2 sc1">2</span>&#12289;&#32447;&#24615;&#20998;&#31867;&#22120;</div><div class="t m0 x2 h4 y3 ff3 fs1 fc0 sc1 ls0 ws0">1.<span class="_ _1"> </span><span class="ff1">&#29992;<span class="_ _2"> </span></span>MA<span class="_ _3"></span>TLAB<span class="_ _2"> </span><span class="ff1">&#24037;&#20855;&#29983;&#25104;<span class="_ _2"> </span></span>2<span class="_ _2"> </span><span class="ff1">&#32500;<span class="_ _2"> </span></span>2<span class="_ _2"> </span><span class="ff1">&#31867;&#35757;&#32451;&#26679;&#26412;&#65292;&#20195;&#30721;&#22914;&#19979;&#65306;</span></div><div class="t m0 x2 h5 y4 ff3 fs1 fc0 sc1 ls0 ws0">//////////////////////////////////////////////////////////////////<span class="_ _4"></span>//////////////////////</div><div class="t m0 x2 h6 y5 ff4 fs2 fc0 sc1 ls0 ws0">N1=440;</div><div class="t m0 x2 h6 y6 ff4 fs2 fc1 sc1 ls0 ws0">for<span class="fc0"> i=1:N1</span></div><div class="t m0 x2 h6 y7 ff4 fs2 fc0 sc1 ls0 ws0"> x1(1,i)=-1.7+0.9*randn(1);</div><div class="t m0 x2 h6 y8 ff4 fs2 fc0 sc1 ls0 ws0"> x1(2,i)= 1.6+0.7*randn(1);</div><div class="t m0 x2 h6 y9 ff4 fs2 fc1 sc1 ls0 ws0">end<span class="fc0">;</span></div><div class="t m0 x2 h6 ya ff4 fs2 fc0 sc1 ls0 ws0"> </div><div class="t m0 x2 h6 yb ff4 fs2 fc0 sc1 ls0 ws0">N2=400;</div><div class="t m0 x2 h6 yc ff4 fs2 fc1 sc1 ls0 ws0">for<span class="fc0"> i=1:N2</span></div><div class="t m0 x2 h6 yd ff4 fs2 fc0 sc1 ls0 ws0"> x2(1,i)= 1.3+0.9*randn(1);</div><div class="t m0 x2 h6 ye ff4 fs2 fc0 sc1 ls0 ws0"> x2(2,i)=-1.5+0.7*randn(1);</div><div class="t m0 x2 h6 yf ff4 fs2 fc1 sc1 ls0 ws0">end<span class="fc0">;</span></div><div class="t m0 x2 h5 y10 ff3 fs1 fc0 sc1 ls0 ws0">//////////////////////////////////////////////////////////////////<span class="_ 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