Question: Select the description ( s ) that is ( are ) TRUE. Group of answer choices Principal Component Analysis ( PCA ) increases the dimensionality

Select the description(s) that is (are) TRUE.
Group of answer choices
Principal Component Analysis (PCA) increases the dimensionality of a dataset by maintaining as much variance as possible.
Histogram is a parametric method in numerosity reduction.
Principal Component Analysis (PCA) reduces the dimensionality of a dataset by maintaining as much variance as possible.
Clustering is a non-parametric method in numerosity reduction.

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