Multivariable Analysis

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August 31, 2024 5 min read Definitions

Principal Components Analysis: A Statistical Technique for Data Reduction

Mathematics Statistics PCA Data Reduction Multivariable Analysis Dimensionality Reduction Statistical Techniques

Principal Components Analysis (PCA) is a linear transformation technique that converts a set of correlated variables into a set of uncorrelated variables called principal components. Each succeeding component accounts for as much of the remaining variability in the data as possible.

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