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Principal Component Analysis - What does a PCA analysis tell you?


One effective method for reducing the complexity of high-dimensional data without losing any of its meaningful patterns or trends is principal component analysis, or PCA. It does this by reducing the data to a more manageable set of dimensions, which serve as summary versions of the original characteristics; this results in a more concise yet thorough understanding of the data.