Which clustering method is more suitable for discovering non-globular shapes in data?
Practice Questions
1 question
Q1
Which clustering method is more suitable for discovering non-globular shapes in data?
K-means clustering
Hierarchical clustering
DBSCAN
Gaussian Mixture Models
DBSCAN is particularly effective for discovering clusters of varying shapes and sizes, making it suitable for non-globular data distributions.
Questions & Step-by-step Solutions
1 item
Q
Q: Which clustering method is more suitable for discovering non-globular shapes in data?
Solution: DBSCAN is particularly effective for discovering clusters of varying shapes and sizes, making it suitable for non-globular data distributions.
