Error while calculating Cosine distance
2 vues (au cours des 30 derniers jours)
Afficher commentaires plus anciens
Balaji M. Sontakke
le 25 Déc 2018
Modifié(e) : madhan ravi
le 25 Déc 2018
Following is the error while calculating Cosine distance....
Subscripted assignment dimension mismatch.
Error in CosineDistance (line 28)
Distance(i,j) = - (ClientMean(i,:)'*EvalSet(j,:))/(norm_x*norm_y);
function Distance = CosineDistance(ClientMean, EvalSet)
% 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
for i = 1 : c
for j = 1 : n
norm_x = norm(ClientMean);
norm_y = norm(EvalSet);
Distance(i,j) = - (ClientMean(i,:)'*EvalSet(j,:))/(norm_x*norm_y);
end
end
1 commentaire
Walter Roberson
le 25 Déc 2018
Are you sure about that code? It would make more sense if it was
ClientMean(i,:)*EvalSet(j,:)'
as that would be 1 x d * d x 1, giving 1 x 1.
Réponse acceptée
madhan ravi
le 25 Déc 2018
Modifié(e) : madhan ravi
le 25 Déc 2018
To view answer:
ClientMean=....your matrix;
EvalSet=....your matrix;
Distance = CosineDistance(ClientMean, EvalSet) % function call
celldisp(Distance) % after the calling of the function
Just change yours to below:
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
0 commentaires
Plus de réponses (0)
Voir également
Catégories
En savoir plus sur Matrices and Arrays dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!