kvalue=zer​os(size(da​ta,1),size​(data,1),s​ize(data,2​));

i have following codes for compute of kernel foe fuzzy cmeans based on kernel or kfc :

function kvalue=compute_kvalue(data)
  v=6.1;
  var = (max(data)-min(data)).^2/v;
  kvalue=zeros(size(data,1),size(data,1),size(data,2));
  for i=1:size(data,1)
      for j=i:size(data,1)
          kvalue(i,j,:)=exp(-abs(data(i,:)-data(j,:)).^2./var);
          kvalue(j,i,:)=kvalue(i,j,:);
      end
  end    
end

line 4 ,what means?

[Azzi Abdelmalek]

Duplicate at http://www.mathworks.com/matlabcentral/answers/65572-question-please-help-me

Answer 1

[Wayne King]

 kvalue=zeros(size(data,1),size(data,1),size(data,2));

The above line is just initializing an array of zeros that has dimensions MxMxN where M is the number of rows in data and N is the number of columns.

So that,

data = randn(8,4);
kvalue=zeros(size(data,1),size(data,1),size(data,2));

kvalue is a matrix of zeros that is 8x8x4. The matrix of zeros is then filled with values in the following for loop.