Scaling issues refer to the challenges that arise when data attributes vary in magnitude, leading to difficulties in the analysis and visualization processes. This problem is particularly significant in statistical techniques where the different scales of measurement can distort the relationships between variables, especially in methods like Principal Component Analysis (PCA), which rely on the variance of the data for determining principal components.
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