You're clustering a large dataset, and computational efficiency is a concern. Which clustering techniques might be more suitable, and why?
- DBSCAN
- Hierarchical Clustering
- K-Means
- K-Means and DBSCAN
Both K-Means and DBSCAN offer good computational efficiency, making them suitable for handling large datasets. K-Means, in particular, can be implemented with scalable variations like Mini-Batch K-Means.
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