Which of the following scenarios is K-means clustering NOT suitable for?

Practice Questions

1 question
Q1
Which of the following scenarios is K-means clustering NOT suitable for?
  1. When clusters are spherical and evenly sized
  2. When the number of clusters is known
  3. When clusters have varying densities
  4. When outliers are present in the data

Questions & Step-by-step Solutions

1 item
Q
Q: Which of the following scenarios is K-means clustering NOT suitable for?
Solution: K-means is not suitable for clusters with varying densities, as it assumes clusters are spherical and of similar size.
Steps: 0

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