91av视频/亚洲h视频/操亚洲美女/外国一级黄色毛片 - 国产三级三级三级三级

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    發(fā)布日期: 2021-06-09
  • 語言: Matlab
  • 標(biāo)簽: svm??分類??matlab??

資源簡介

Iris 是一種鳶尾屬植物。在數(shù)據(jù)記錄中,每組數(shù)據(jù)包含Iris花的四種屬性:萼片長度,萼片寬度,花瓣長度,和花瓣寬度,三種不同的花各有50組數(shù)據(jù). 這樣總共有150組數(shù)據(jù)或模式。此為基于matlab的Iris花的三分類程序。

資源截圖

代碼片段和文件信息

clear;
irisData?=?dlmread(‘iris.data‘);
%?irisData?is?150x5.
%?row:?
%?Sepal.Length????Sepal.Width????Petal.Length????Petal.Width????Group(12or?3)
%?the?first?50x5?is?Isis-setosa(1)?
%?the?second?50x5?is?Isis-versicolor(2)
%?the?last?50x5?is?Isis-virginica(3).
%
%?!!!?Caution?!!!
%?X(50?+?21?:)?equals?X(50?+?50?+?27?:)?but?Y(50?+?50?+?21)?DOESNOT?equal?Y(50?+?50?+?27)!
%?So?the?algorithm?will?NEVER?be?100%?correct.


plotAxis?=?[min(irisData(:?3))?max(irisData(:?3))?min(irisData(:?4))?max(irisData(:?4))];
kernel?=?‘rbf‘;

c?=?[1?10?100?1000?10000];
sigma?=?1?:?0.5:?3;
[C?Sigma]?=?meshgrid(c?sigma);
C?=?C(:);
Sigma?=?Sigma(:);
Err?=?zeros(size(C));
n?=?length(Err);
Xtest?=?irisData(1?:?150?3?:?4);



%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?First?train?Isis-setosa(1)?and?Isis-versicolor(2)?using?grid?search.
%?
disp(‘.....................................................................‘)
X?=?irisData(1?:?100?3?:?4);
Y?=?irisData(1?:?100?5);
Y(find(Y==1))?=?1;
Y(find(Y==2))?=?-1;
Xtrain?=?X;

disp(‘Training?Isis-setosa(1)?and?Isis-versicolor(2)?using?grid?search.‘)
disp(‘Please?wait?a?while.‘);
for?i?=?1?:?n
????[alphaStar?bStar?SVIndex]?=?yxcSVMtrain(X?Y?C(i)?kernel?Sigma(i));
????[YClassified?Z?Err(i)]?=?yxcSVMclassifer(Xtrain?Xtrain?Y?alphaStar?bStar?kernel?Sigma(i));
????%disp(sprintf(‘Cross?Validation:?%d?in?%d‘?i?n));
end
[mErr?i]?=?min(Err);

%Compute?the?minimum?one?again?using?the?optimal?C?and?Sigma.
[alphaStar?bStar?SVIndex]?=?yxcSVMtrain(X?Y?C(i)?kernel?Sigma(i));
[YClassified?Z?Err(i)]?=?yxcSVMclassifer(Xtrain?Xtrain?Y?alphaStar?bStar?kernel?Sigma(i));
disp(sprintf(‘Error?rate?is?%%%d?with?C?=?%d?sigma?=?%d‘?mErr*100?C(i)?Sigma(i)));
disp(sprintf(‘There?are?%d?support?vectors?%d?out?of?%d?are?wrongly?classified‘?...
????length(SVIndex)?mErr*length(Y)?length(Y)));
yxcSVMplot(X?Y?SVIndex?alphaStar?bStar?kernel?Sigma(i)?plotAxis);
title(sprintf(‘Isis-setosa(1)?and?Isis-versicolor(2)?SV?=?%d?Err?=?%%%d?C?=?%d?Sigma?=?%d‘?...
?????length(SVIndex)?mErr*100?C(i)?Sigma(i)));
?
%?Test?all?data?on?the?Isis-setosa(1)?and?Isis-versicolor(2)?data?set.
[Y12?Z]?=?yxcSVMclassifer(Xtrain?Xtest?Y?alphaStar?bStar?kernel?Sigma(i));
Y12(find(Y12==1))?=?1;
Y12(find(Y12==-1))?=?2;


%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%?Then?train?Isis-versicolor(2)?and?Isis-virginica(3)?using?grid?search.
%?
disp(‘.....................................................................‘)
X?=?irisData(51?:?150?3?:?4);
Y?=?irisData(51?:?150?5);
Y(find(Y==2))?=?1;
Y(find(Y==3))?=?-1;
Xtrain?=?X;

disp(‘Training?Isis-versicolor(2)?and?Isis-virginica(3)?using?grid?search.‘)
disp(‘Please?wait?a?while.‘);
for?i?=?1?:?n
????[alphaStar?bStar?SVIndex]?=?yxcSVMtrain(X?Y?C(i)?kernel?Sigma(i));
????[YClassified?Z?Err(i)]?=?yxcSVMclassifer(Xtrain?Xtrain

?屬性????????????大小?????日期????時(shí)間???名稱
-----------?---------??----------?-----??----

?????文件???????2699??2007-04-04?10:23??三分類_svm_matlab\iris.data

?????文件???????6455??2007-11-09?10:31??三分類_svm_matlab\irisSVM.m

?????文件???????1905??2007-11-09?09:22??三分類_svm_matlab\yxcSVMclassifer.m

?????文件???????1079??2007-11-09?09:22??三分類_svm_matlab\yxcSVMkernel.m

?????文件???????2118??2007-11-09?09:30??三分類_svm_matlab\yxcSVMplot.m

?????文件???????2415??2007-11-09?09:19??三分類_svm_matlab\yxcSVMtrain.m

?????目錄??????????0??2009-08-03?21:57??三分類_svm_matlab

-----------?---------??----------?-----??----

????????????????16671????????????????????7


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