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What is a key challenge when applying clustering algorithms?

Practice Questions

Q1
What is a key challenge when applying clustering algorithms?
  1. Choosing the right number of clusters
  2. Data normalization
  3. Feature selection
  4. All of the above

Questions & Step-by-Step Solutions

What is a key challenge when applying clustering algorithms?
  • Step 1: Understand that clustering algorithms group similar data points together.
  • Step 2: Identify that one challenge is choosing the right number of clusters, which means deciding how many groups to create.
  • Step 3: Recognize that data normalization is important, which means adjusting the data so that it is on a similar scale.
  • Step 4: Learn that feature selection is crucial, which involves picking the most important characteristics of the data to use for clustering.
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