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Pablo Bernabeu's Blog – September 2017 Archive (1)

Naive Principal Component Analysis in R

Principal Component Analysis (PCA) is a technique used to find the core components that underlie different variables. It comes in very useful whenever doubts arise about the true origin of three or more variables. There are two main methods for performing a PCA: naive or less naive. In the naive method, you first check some conditions in your data which will determine the essentials of the analysis. In the less-naive method, you set the those yourself,…

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Added by Pablo Bernabeu on September 6, 2017 at 1:30pm — No Comments

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