Question

    Which technique is used to reduce dimensionality while

    preserving variance?
    A Regression Correct Answer Incorrect Answer
    B Clustering Correct Answer Incorrect Answer
    C PCA Correct Answer Incorrect Answer
    D Naive Bayes Correct Answer Incorrect Answer
    E SVM Correct Answer Incorrect Answer

    Solution

    Principal Component Analysis reduces dimensionality by transforming the data into components that retain the most variance.

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