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A Peak at How the Brain can Perform Principal Component Analysis.
The brain and the modern world have one thing in common: outputs arise from the analysis of huge information datasets. One of the most well-known data analysis methods is called Principal component analysis or PCA. The goal of this method is to transform an input into a new representation in which the variables are pairwise decorrelated. In other words, this method removes redundancy in a dataset.
The figure above represents the PCA method applied on the open-source iris flower …