MATLAB: Following is the error while calculating cosine distance

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

Best Answer

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
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