Q. In the context of clustering, what does 'density-based' mean?
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A.
Clusters are formed based on the distance between points
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B.
Clusters are formed based on the number of points in a region
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C.
Clusters are formed based on the average value of points
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D.
Clusters are formed based on the variance of points
Solution
Density-based clustering forms clusters based on the number of points in a specified region, allowing for arbitrary shapes.
Correct Answer:
B
— Clusters are formed based on the number of points in a region
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Q. What type of clustering algorithm is DBSCAN?
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A.
Hierarchical
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B.
Partitioning
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C.
Density-based
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D.
Centroid-based
Solution
DBSCAN is a density-based clustering algorithm that groups together points that are closely packed.
Correct Answer:
C
— Density-based
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Q. Which clustering algorithm is best for identifying clusters of varying shapes and sizes?
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A.
K-Means
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B.
DBSCAN
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C.
Agglomerative Clustering
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D.
Gaussian Mixture Model
Solution
DBSCAN is effective for identifying clusters of varying shapes and sizes, as it groups points based on density.
Correct Answer:
B
— DBSCAN
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Q. Which evaluation metric is NOT typically used for clustering?
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A.
Silhouette Score
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B.
Davies-Bouldin Index
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C.
Adjusted Rand Index
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D.
F1 Score
Solution
F1 Score is used for classification tasks, not for evaluating clustering performance.
Correct Answer:
D
— F1 Score
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