(Choose 1 answer)
32/50-CAP
Which of the following statements correctly defines the weaknesses of the DBSCAN algorithm?
A. The clusters it find might not be trustworthy, it needs noisy data to work, and it can't handle subgroups.
B. It needs two parameters as input, finding appropriate values of & and n_clu can be difficult, and it does not do well with clusters of different density.
C. The algorithm will find the outliers first, it draws regular shapes, and it works faster than other algorithms.
D. The algorithm is computationally intensive, it is sensitive to outliers, and it requires too many hyperparameters to be tuned.
Q: 33
