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大小: 4KB文件類型: .rar金幣: 2下載: 1 次發(fā)布日期: 2021-07-10
- 語(yǔ)言: Matlab
- 標(biāo)簽:
資源簡(jiǎn)介
主成分分析(Principal Component Analysis,PCA), 是一種統(tǒng)計(jì)方法。通過(guò)正交變換將一組可能存在相關(guān)性的變量轉(zhuǎn)換為一組線性不相關(guān)的變量,轉(zhuǎn)換后的這組變量叫主成分。

代碼片段和文件信息
function?[out1?out2?out3?out4]=pca(Xn)%out1相關(guān)系數(shù)矩陣特征值,out2相關(guān)系數(shù)矩陣,out3各主成分,out4累計(jì)貢獻(xiàn)率,X數(shù)據(jù)矩陣,n前n個(gè)主成分;
X=[3?39152?8341?16.6?550654?663545;
?2?21410?5246?18.7?339561?451235;
2??11545?3915?18.16?91484?110692;?
35?329483?76264?20.4?1429259?2038912;
3?31641?7327?19.21?992409?1027253;
1?4796?1412?21.8?1193750?521542;
7?67413?16451?18.7?359100?1435121;
5?19226?4961?18.9?1350277?1687144;
2?34462?9124?18.5?429389?612462;
6?53992?12098?17.1?964210?1272537;
2?18334?4399?15.8?557704?778854;?
3?22405?8021?15.8?790380?1011777;
2?2576?10162?15.4?1077366?1688725;
];
%X=[-0.302296872642583-0.137604475176625-0.559042063626985-0.541288899915977-0.680733029813959;-0.417880971005924-0.352730154904331-0.590465901466302-0.541270971838351-1.17343280800857;-0.417880971005924-0.472345464932164-0.603979674701885-0.541275581915455-1.75245476930138;3.396394274984323.382723206089550.130586801497386-0.5412564586326541.36996731847175;-0.302296872642583-0.228677013810082-0.569337304844777-0.5412666178766420.350341380594531;-0.533465069369264-0.554178584788003-0.629392878615233-0.5412445065809030.820279588121454;0.1600395208107790.205066409435295-0.476700440080342-0.541270971838351-1.12782797522802;-0.0711286759159019-0.379211638644907-0.593359534352960-0.5412692644023861.18562006924336;-0.417880971005924-0.194471763978504-0.551092188012062-0.541272679274315-0.963770546940388;0.04445542244743880.0423338117785746-0.520896875012344-0.5412846313260660.284523750235828;-0.417880971005924-0.390027336216608-0.599065575343491-0.541295729659834-0.664278038713960;-0.302296872642583-0.340665559518858-0.562291054938320-0.541295729659834-0.121202647340448;-0.417880971005924-0.581096576502325-0.540553272445920-0.5412991445317630.548634526535322];
n=6;
m=size(X);
?
a=sum(X)/m(1);
?
for?i=1:m(1);
?
for?j=i:m(2);
?
R(ij)=sum((X(:i)-a(i)).*(X(:j)-a(j)))./(sum((X(:i)-a(i)).^2)*sum((X(:j)-a(j)).^2)).^0.5;
?
end
?
end
?
for?i=1:m(2);
?
for?j=1:i-1;
?
R(ij)=R(ji)?;?
end
?
end
?
[xd]=eig(R);
?
out1=sort(d(d~=0)‘descend‘);
?
for?i=1:m(2)
?
out2(:i)=x(:m(2)+1-i);
?
end
?
out3=zeros(m(1)m(2));
?
for?i=1:m(2)
?
for?j=1:m(2)
?
out3(:i)=out3(:i)+out2(ji)*X(:j);
?
end
?
end
?
b=out1./sum(out1);
?
out4=sum(b(1:n));
?
bar(b(1:n));
?
hold?on;
?
for?i=1:n
?
out5(i)=sum(b(1:i));
?
end
?
plot(1:nout5);
?
legend(‘各成分貢獻(xiàn)率‘‘前n個(gè)主成分累計(jì)貢獻(xiàn)率‘);
?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----
?????文件???????2668??2019-07-11?10:52??pca22.m
?????文件???????1384??2019-07-11?10:52??pcawei.m
?????文件???????2518??2019-07-11?10:52??pca.m
-----------?---------??----------?-----??----
?????????????????6570????????????????????3
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