Unsupervised Learning DY0-001 Practice Questions (Page 6)

Questions 26–27

1. 26application · medium

   A biologist is studying gene expression data from 500 tissue samples. They want to understand the natural grouping of samples and also visualize the hierarchy of relationships, from broad categories down to fine-grained subtypes. Which clustering approach is most appropriate?

   • APCA to reduce to 2 dimensions
   • BSVD for matrix factorization
   • CHierarchical clustering with a dendrogram
   • DK-Means with k=10
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   How can SVD be used to reduce the dimensionality of a dataset?

   • ABy removing all rows that have missing values
   • BBy averaging the columns of the matrix
   • CBy keeping only the largest singular values and their corresponding vectors
   • DBy transposing the matrix to reduce its dimensions
   Reveal Solution Discussion Select an answer first