Like Principal Components Analysis? New Paper Reports It Can… – Towards AI

LucianoSphere (Luciano Abriata, PhD) has written an article on Principal Component Analysis (PCA) which discusses the limitations and disadvantages of the widely used statistical method for simplifying complex datasets. The article explains how PCA can produce “phantom oscillations” and highlights the low interpretability of principal components. The article was originally published on Towards AI.

source update: Like Principal Components Analysis? New Paper Reports It Can… – Towards AI

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