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Such high-dimensionality makes visualization of samples difficult and limits simple exploration of the data. Principal component analysis (PCA) is a mathematical algorithm that reduces the ...
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These dimensionality reduction approaches are powerful algorithms that are able to recognize the most meaningful features of a class of objects and disregard smaller details that are overall less ...