Question: How does 'principal component analysis' ( PCA ) aid in data preprocessing for high - dimensional data sets? By reducing dimensionality and identifying patterns in
How does 'principal component analysis' PCA aid in data preprocessing for highdimensional data sets?
By reducing dimensionality and identifying patterns in the data
By labeling the data more clearly
By clustering the data into predefined groups
By increasing the number of variables to improve model accuracy
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