A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?
A. DBSCAN is the correct choice. Unlike k-means (which requires specifying the number of clusters), DBSCAN (Density-Based Spatial Clustering of Applications with Noise) determines the number of clusters based on data density, so you do not need to specify the number of clusters in advance.
upvoted 1 times
...
This section is not available anymore. Please use the main Exam Page.DY0-001 Exam Questions
Log in to ExamTopics
Sign in:
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
SuntzuLegacy
1 month, 1 week ago