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      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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