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It is especially used to solve classification problems instead of supervised classification issues. It is basically a dimensionality reduction technique. Utilizing the Linear combinations of preIt lets us to lessen the dimension with the data without having much reduction of knowledge. PCA minimizes the dimension by finding a several orthogonal lin