Check that your 'end' keywords all correspond to the keyword they're supposed to (i.e. 'if', 'for'). It looks like you may have inadvertently commented out an extra 'end' line, which redefined your outermost for loop in an unintended way.
loop repeating itselt
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loop repeating itselt at line number I have dataset of 4026*62rows and column and i have to do fuzzification "Accurate Cancer Classification Using Expressions of Very Few Genes"i.e I have to convert all thosevalues into three linguistic values low(L).average(A),high(L),I have coded but my program hangs on wen i run it,i have posted code ,please can anyone help,I need output as A,H,L, for 4026*62 rows and column % 1) FNN classifier: Full lymphoma dataset gene values should be converted into fuzzy values. Using the below code.
Fuzzification
[nu da]=xlsread('lymphoma dataset.xls')
cl=xlsread('class.xls');
for i=1:size(da,1)
for j=2:size(da,2)
if(j<size(da,2))
% x=str2num(da{i,j});
% if(isempty(x))
% x=0;
% end
else
c=unique(da(:,end));
% for i1=1:length(c)
% if(strcmp(c{i1},da{i,j}))
% x=i1;
% end
% end
% end
data(i,j-1)=x;
end
end
data1=data;
% data=data(1:300,:);
% cl=cl(1:150,:);
% data=nu;
disp('Dataset')
disp(data)
data=knnimpute(da)
[in claq]=kmeans(data,4);
for i=1:size(da,2)
d=data(:,i);
Emin=min(d);
Emax=max(d);
d1=sort(d,'ascend');
s=size(d,1)/3;
pj1=d(1:s,:);
pj2=d(s+1:end,:);
cl=in;
cla1=cl(1:s,:);
cla2=cl(s+1:end,:);
nc=10;
de=1;
k1 = mat2cell(pj1, nc*ones(1, (s/nc)),1);
k2 = mat2cell(pj2, nc*ones(1, (size(pj2,1)/nc)),1);
Rk1=(2*1)/length(pj1);
Rk2=(2*2)/length(pj2);
%class
figure('visible','off')
h = cdfplot(cla1);
y = get(h,'YData');
f1=length(y);
y = unique(y);
h1 = cdfplot(cla2);
y1 = get(h1,'YData');
f2=length(y1);
y1 = unique(y1);
low1=y(2);
low2=y1(2);
cf1=y(2)-y(1);
cf2=y1(2)-y1(1);
Pj1=low1+((Rk1-cf1)/f1)*de;
Pj2=low2+((Rk2-cf2)/f2)*de;
Aj1(i)=(Emin+ Pj1)/2;
Aj2(i) =(Pj1 + Pj2 )/2;
Aj3(i)= (Pj2 + Emax )/2;
end
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