QuestionQ40

Content Breakdown

When should data clustering and visualization techniques such as tSNE or UMAP be used?

  • A When there is a need to handle missing values and impute them in the dataset.
  • B When there is a need to perform regression analysis and predict continuous numerical values.
  • C When there is a need to reduce the dimensionality of the data and visualize the clusters in a lower-dimensional space.
  • D When there is a need to perform feature extraction and identify important variables in the dataset.
Explanation

t-SNE and UMAP reduce high-dimensional observations to a lower-dimensional embedding—commonly two dimensions—for visualization, making local structure and apparent clusters easier to inspect. They are not imputation, regression, or feature-importance methods.

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