CompTIA
DY0-001 · Question #7
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?
The correct answer is A. DBSCAN. DBSCAN discovers clusters based on density without requiring you to predefine the number of clusters, automatically finding arbitrarily shaped groups and identifying noise points.
Machine Learning
Question
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?
Options
- ADBSCAN
- Bk-nearest neighbors
- Ck-means
- DLogistic regression
How the community answered
(29 responses)- A86% (25)
- B7% (2)
- C3% (1)
- D3% (1)
Explanation
DBSCAN discovers clusters based on density without requiring you to predefine the number of clusters, automatically finding arbitrarily shaped groups and identifying noise points.
Topics
#DBSCAN#clustering#unsupervised learning#density-based clustering
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