資源簡介
為了解決分類問題中的高維而導致的維數災難問題,提出了Fisher算法和基于核的Fisher算法的分類器設計方法

代碼片段和文件信息
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%函數名稱:fisher()
%參數:sample:待識別樣品特征
%返回值:y:待識別樣品所屬類別
%函數功能:Fisher分類器
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
function?y=fisher(sample)
clc;
num=zeros(110);
classnum=0;
for?i=1:10
????for?j=1:i
????????classnum=fisherclassify(ijsample);
????????num(classnum)=num(classnum)+1;
????end
end
[max_valmax_pos]=max(num);
y=max_pos-1;
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
?????文件????????411??2012-03-26?21:14??FISHER\fisher.m
?????文件???????1056??2012-03-26?21:32??FISHER\fisherclassify.m
?????文件????????448??2012-03-27?11:09??FISHER\kenfisher.m
?????文件???????1822??2012-03-27?12:22??FISHER\kenfisherclassify.m
?????目錄??????????0??2012-04-17?17:43??FISHER
-----------?---------??----------?-----??----
?????????????????3737????????????????????5
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