Choose one of the following alternatives. Which one describes DBSCAN (Density-ba
ID: 3727464 • Letter: C
Question
Choose one of the following alternatives. Which one describes DBSCAN (Density-based spatial clustering of applications with noise)? Explain your answer.
1. A density-based clustering algorithm that produces a partitional clustering in which the number of clusters is determined automatically
2. A density-based clustering algorithm that produces a hierarchical clustering in which the number of clusters is set before running the algorithm
3. A prototype-based, partitional clustering technique that attempts to find a user-specified number of clusters which are represented by their centroids
4. A prototype-based, partitional clustering technique that attempts to find a user-specified number of clusters which are represented by their contiguity
Explanation / Answer
The Answer is 1: A density-based clustering algorithm that produces a partitional clustering in which the number of clusters is determined automatically
DBSCAN (Density-based spatial clustering of applications with noise):
In DBSCAN clusters are obtained in such a way that highly dense region of elements surrounded by low-density region.so it is density based.
In DBSCAN clusters are non-overlapping it is, each element has exactly one subset so they can be called as partition clustering.and the points in very low density are omitted so the clusters aren't complete.
The DBSCAN algorithm
so at the end of the algorithm, the cluster count is automatically determined.
so as a conclusion we can say that option 1 is the correct answer.