Following is the error while calculating cosine distance

Following is the error while calculating cosine distance....

Conversion to cell from double is not possible.

Error in CosineDistance (line 26)

Distance(ctr) = - (ClientMean(i,:)'*EvalSet(j,:))/(norm_x*norm_y);

Error in Evaluation (line 83)

Distance = CosineDistance(ClientMean, EvalSet);

Error in DorsalHandVeinVerification (line 69)

[EvalFAR, EvalFRR, EvalEER, Thr] = Evaluation(TrainSet, gndTrain, EvalSet, gndEval,

options);

  function Distance = CosineDistance(ClientMean, EvalSet)  % function definition
                        % Calculate Cosine Distance 
                % 
                %   Inputs:
                %       ClientSet ---- c* dim matrix
                %       EvalSet ---- n*dim matrix
                %   Outputs:
                %       Distance ---- c*n matrix
                if ~exist('ClientMean','var')
                    error('Input arguments error.');
                end
                if ~exist('EvalSet','var')
                    error('Input arguments error.');
                end
                [c, d] = size(ClientMean);
                [n, dim] = size(EvalSet);
                if (d ~= dim)
                    error('Dimensionality disagreement.');
                end
                Distance=cell(c,n);  % pre-allocate
                ctr=1;
                for i = 1 : c
                    for j = 1 : n       
                        norm_x = norm(ClientMean);
                        norm_y = norm(EvalSet);
                        Distance(ctr) = - (ClientMean(i,:)'*EvalSet(j,:))/(norm_x*norm_y);
                        ctr=ctr+1;
                    end
                end
  end

Answer 1

[KSSV]

cell is accessed using flower braces i.e {}. Replace Distance(ctr) with Distance{ctr}.

function Distance = CosineDistance(ClientMean, EvalSet)  % function definition
                        % Calculate Cosine Distance 
                % 
                %   Inputs:
                %       ClientSet ---- c* dim matrix
                %       EvalSet ---- n*dim matrix
                %   Outputs:
                %       Distance ---- c*n matrix
                if ~exist('ClientMean','var')
                    error('Input arguments error.');
                end
                if ~exist('EvalSet','var')
                    error('Input arguments error.');
                end
                [c, d] = size(ClientMean);
                [n, dim] = size(EvalSet);
                if (d ~= dim)
                    error('Dimensionality disagreement.');
                end
                Distance=cell(c,n);  % pre-allocate
                ctr=1;
                for i = 1 : c
                    for j = 1 : n       
                        norm_x = norm(ClientMean);
                        norm_y = norm(EvalSet);
                        Distance{ctr} = - (ClientMean(i,:)'*EvalSet(j,:))/(norm_x*norm_y);
                        ctr=ctr+1;
                    end
                end
  end

[Balaji M. Sontakke]

Please see the attachment herewith of my program, cosine distance is calculated or not I dont understand because of following error...
Output argument "T" (and maybe others) not assigned during call to "Evaluation".

Error in DorsalHandVeinVerification (line 69)
    [EvalFAR, EvalFRR, EvalEER, Thr] = Evaluation(TrainSet, gndTrain, EvalSet, gndEval, options); 

[Balaji M. Sontakke]

What happen sir...