Question

    Which of the following techniques is used for

    dimensionality reduction while preserving the data’s variance?
    A Principal Component Analysis (PCA) Correct Answer Incorrect Answer
    B Hierarchical Clustering Correct Answer Incorrect Answer
    C t-Distributed Stochastic Neighbor Embedding (t-SNE) Correct Answer Incorrect Answer
    D Apriori algorithm Correct Answer Incorrect Answer
    E None of these Correct Answer Incorrect Answer

    Solution

    Principal component analysis, or PCA, is a dimensionality reduction method that is often used to  reduce the dimensionality of large data sets, by transforming a large set of variables into a smaller one that still contains most of the information in the large set.

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