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Related Questions
- What are some common applications of density-based clustering in real-world datasets?
- How does DBSCAN handle noisy data points compared to hierarchical clustering?
- What are the key advantages of density-based clustering over centroid-based clustering algorithms like K-Means?
- Can density-based clustering be used to identify clusters of varying sizes and densities?
- How does the choice of epsilon (ε) value affect the performance of DBSCAN in handling clusters of varying densities?
- What are the differences in handling outliers and noise between density-based clustering and other clustering algorithms like K-Means or Hierarchical clustering?
- Can density-based clustering be used to cluster high-dimensional data with complex structures?
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