PCA基于matlab的代码

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  • matlab
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  • 2022-02-22 10:15
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各种类型的主成分分析详细代码,基于Matlab的完整实现
PCA基于matlab的代码
  • 主元分析和核主元分析matlab程序及讲义
  • PCA
  • PCA.m
    317B
  • 主成分分析1.doc
    115KB
  • PCA仿真程序
  • PCA,KPCA完整程序
  • tztq.m
    2.9KB
  • PCA_model.m
    1.3KB
  • asdf.m
    321B
  • testPCA.m
    636B
  • AB经典数据)的主元分析与多元统计Matlab程序
  • XStd.m
    1KB
  • PCAThrd.m
    673B
  • PCAFisher.m
    4.3KB
  • 因子分析法与主成分分析法ppt
  • 06-5.ppt
    316KB
  • 11%D6%F7%B3ɷַ%D6%CE%F6%D3%EB%D2%F2%D7ӷ%D6%CE%F6.ppt
    1013KB
内容介绍
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class="_ _0"></span>&#22914;<span class="_ _0"></span>&#26524;<span class="_ _0"></span>&#31532;&#19968;<span class="_ _0"></span>&#20027;<span class="_ _0"></span>&#25104;<span class="_ _0"></span>&#20998;&#19981;<span class="_ _0"></span>&#36275;<span class="_ _0"></span>&#20197;<span class="_ _0"></span>&#20195;&#34920;<span class="_ _0"></span>&#21407;<span class="_ _0"></span>&#26469;<span class="_ _2"> </span><span class="ff3">P<span class="_"> </span></span>&#20010;&#25351;<span class="_ _0"></span>&#26631;<span class="_ _0"></span>&#30340;&#20449;<span class="_ _0"></span>&#24687;<span class="_ _0"></span>&#65292;</div><div class="t m0 x3 h4 y16 ff2 fs1 fc0 sc0 ls0 ws0">&#20877;<span class="_ _0"></span>&#32771;&#34385;<span class="_ _0"></span>&#36873;<span class="_ _0"></span>&#21462;<span class="_ _2"> </span><span class="ff3">F</span></div><div class="t m0 xc h5 y17 ff3 fs2 fc0 sc0 ls0 ws0">2</div><div class="t m0 xd h4 y16 ff2 fs1 fc0 sc0 ls0 ws0">&#21363;<span class="_ 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class="_ _0"></span>&#29616;&#22312;<span class="_ _4"> </span><span class="ff3">F</span></div><div class="t m0 x14 h5 y19 ff3 fs2 fc0 sc0 ls0 ws0">2</div><div class="t m0 x15 h4 y18 ff2 fs1 fc0 sc0 ls0 ws0">&#20013;&#65292;&#29992;&#25968;&#23398;&#35821;<span class="_ _0"></span>&#35328;&#34920;&#36798;&#23601;&#26159;&#35201;&#27714;<span class="_ _3"> </span><span class="ff3 fc2">Cov(F</span></div><div class="t m0 x16 h5 y19 ff3 fs2 fc2 sc0 ls0 ws0">1</div><div class="t m0 x17 h4 y18 ff2 fs1 fc2 sc0 ls0 ws0">&#65292;<span class="ff3">F</span></div><div class="t m0 x18 h5 y19 ff3 fs2 fc2 sc0 ls0 ws0">2</div><div class="t m0 x19 h4 y18 ff3 fs1 fc2 sc0 ls0 ws0">)=0 <span class="ff2 fc0">&#65292;&#31216;<span class="_ _3"> </span><span class="ff3">F</span></span></div><div class="t m0 x1a h5 y19 ff3 fs2 fc0 sc0 ls0 ws0">2</div><div class="t m0 x1b h4 y18 ff2 fs1 fc0 sc0 ls0 ws0">&#20026;&#31532;&#20108;&#20027;&#25104;</div><div class="t m0 x3 h4 y1a ff2 fs1 fc0 sc0 ls0 ws0">&#20998;&#65292;&#20381;&#27492;&#31867;&#25512;&#21487;&#20197;&#26500;&#36896;&#20986;&#31532;&#19977;&#65292;&#22235;&#65292;<span class="_ _0"></span>&#8230;&#65292;&#31532;<span class="_ _3"> </span><span class="ff3">p<span class="_ _4"> </span></span>&#20010;&#20027;&#25104;&#20998;&#12290;&#19981;&#38590;&#24819;&#35937;&#36825;&#20123;&#20027;&#25104;&#20998;&#20043;&#38388;</div><div class="t m0 x3 h4 y1b ff2 fs1 fc0 sc0 ls0 ws0">&#19981;&#20165;&#19981;&#30456;&#20851;&#65292;&#32780;&#19988;&#23427;&#20204;&#30340;&#26041;&#24046;&#20381;&#27425;&#36882;&#20943;&#12290;&#22240;&#27492;&#22312;&#23454;&#38469;&#24037;&#20316;&#20013;&#65292;&#23601;&#25361;&#36873;&#21069;&#20960;&#20010;&#26368;&#22823;&#20027;</div><div class="t m0 x3 h4 y1c ff2 fs1 fc0 sc0 ls0 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fc0 sc0 ls0 ws0">2</div><div class="t m0 x21 h7 y21 ff3 fs1 fc0 sc0 ls0 ws0">,<span class="ff5"> &#8230;</span>.X</div><div class="t m0 x22 h5 y22 ff3 fs2 fc0 sc0 ls0 ws0">p</div><div class="t m0 x23 h4 y21 ff2 fs1 fc0 sc0 ls0 ws0">&#65292;&#24471;&#21040;&#21407;&#22987;</div></div></div><div class="pi" data-data='{"ctm":[1.568627,0.000000,0.000000,1.568627,0.000000,0.000000]}'></div></div> </body> </html>
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