function mixture = mixinit(dim, num_clus)% MIXINIT	Allocates matrices for mixture data structure.% % MIXTURE=MIXINIT(DIM, NUM_CLUS)% Set the dimensionality ... corr to 'd'mixture.dim = dim;% Equal priors for all clusters.mixture.priors = ones(1,num_clus)/num_clus;% Record no. of clusters we are dealing with.mixture.num_clus = num_clus;% Initialize centroids to be null.mixture.centers = zeros(num_clus,dim);mixture.centers(:,dim)=1;% The covars(:,:,i) corresponds to \Sigma_i for the mixture.mixture.kappas = 10*ones(1,num_clus);