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MC_NDCC/MC_NDCC_matlab/generate_dataset.m
2025-11-08 18:45:48 +01:00

30 lines
973 B
Matlab
Executable File

function M = generate_dataset(centers_matrix, ss,class_locations, n_features)
%{
*** This function returns the generated dataset matrix with
coresponding labels
*** Samples of each center generated using normal distribution
function with mu as the center location and sigma as 5
*** Size of the samples are given from sample spliter funtion
%}
[r, c] = size(class_locations);
%Intialize the matrix as an empty matrix
M = zeros(0, n_features);
l = zeros(0, 1);
for i = 1:r
for j = 1:c
%Generate samples in specific center point(mu) and (sigma = 5,
%and) in size of ss by n_features
tmp = normrnd(centers_matrix(int32(class_locations(i,j))), 5,[int32(ss(i,j)), n_features]);
label_tmp = ones(int32(ss(i,j)), 1)*(i);
l = [l; label_tmp];
M = [M; tmp];
end
end
M = [M, l];
end