machine learning - Dimension reduction using PCA in matlab code -


i have matrix of [152 x 27578] 152 samples , 27578 features , used pca function dimension reduction in matlab.

x = load(dataset);  coeff = pca(x);

it generated matrix of [27578 x 151].but dont understand generating , unable understand next. can 1 me understanding?. main goal reduce dimension of original matrix


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