A researcher applies a density-based clustering algorithm to detect patterns in a dataset containing noise and arbitrarily shaped clusters. The results show…

1. ADensity-based methods require clusters to be spherical and well-separated.
2. BThe algorithm assumes a global density threshold, making it difficult to detect clusters with different densities.
3. CThe algorithm cannot distinguish between core points and border points in dense regions.
4. DDensity-based methods merge all data points into one cluster when noise is present.