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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