Principal component analysis (PCA) is a classical machine learning technique. The goal of PCA is to transform a dataset into one with fewer columns. This is called dimensionality reduction. The ...
Econometric Theory provides an authoritative outlet for original contributions in all of the major areas of econometrics. As well as articles that embody original theoretical research, the journal ...
Principal component analysis, particularly in the form of singular value decomposition, is a useful technique for a number of applications, including the analysis of two-way tables, evaluation of ...
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