What is a potential drawback of hierarchical clustering?

Practice Questions

1 question
Q1
What is a potential drawback of hierarchical clustering?
  1. It can handle large datasets efficiently
  2. It does not require a predefined number of clusters
  3. It can be computationally expensive for large datasets
  4. It is less interpretable than K-means

Questions & Step-by-step Solutions

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Q
Q: What is a potential drawback of hierarchical clustering?
Solution: Hierarchical clustering can be computationally expensive, especially for large datasets, due to its complexity.
Steps: 0

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