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Which clustering method is more suitable for discovering non-linear relationships in data?

Practice Questions

1 question
Q1
Which clustering method is more suitable for discovering non-linear relationships in data?
  1. K-means clustering
  2. Hierarchical clustering
  3. DBSCAN
  4. Gaussian Mixture Models

Questions & Step-by-step Solutions

1 item
Q
Q: Which clustering method is more suitable for discovering non-linear relationships in data?
Solution: DBSCAN is more suitable for discovering non-linear relationships in data as it can identify clusters of varying shapes and sizes.
Steps: 0

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