Home>IT Tests>Questions>Principal component analysis aims at reducing the number of dimensions (or features) in a given data set. The aim is to lower this number to a manageable size but also to preserve the dataset’s integrity structure, trends, categories (and so on) are kept.
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Principal component analysis aims at reducing the number of dimensions (or features) in a given data set. The aim is to lower this number to a manageable size but also to preserve the dataset’s integrity structure, trends, categories (and so on) are kept.
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_______ aims at reducing the number of dimensions (or features) in a given data set. The aim is to lower this number to a manageable size but also to preserve the dataset’s integrity structure, trends, categories (and so on) are kept. What is the missing word?
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