Computer Science & IT
Q. Which of the following methods can be used to evaluate the quality of clusters formed by K-means?
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A.
Silhouette score
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B.
Davies-Bouldin index
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C.
Both A and B
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D.
None of the above
Solution
Both the Silhouette score and the Davies-Bouldin index are methods used to evaluate the quality of clusters formed by K-means.
Correct Answer: C — Both A and B
Q. Which of the following scenarios is best suited for hierarchical clustering?
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A.
When the number of clusters is known
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B.
When the data is high-dimensional
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C.
When a hierarchy of clusters is desired
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D.
When speed is a priority
Solution
Hierarchical clustering is ideal when a hierarchy of clusters is needed, as it provides a detailed view of the data structure.
Correct Answer: C — When a hierarchy of clusters is desired
Q. Which of the following scenarios is K-means clustering NOT suitable for?
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A.
When clusters are spherical and evenly sized
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B.
When the number of clusters is known
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C.
When clusters have varying densities
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D.
When outliers are present in the data
Solution
K-means is not suitable for clusters with varying densities, as it assumes clusters are spherical and of similar size.
Correct Answer: C — When clusters have varying densities
Q. Which of the following statements about K-means clustering is true?
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A.
It can only be applied to spherical clusters
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B.
It is guaranteed to find the global optimum
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C.
It can be sensitive to the initial placement of centroids
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D.
It does not require any distance metric
Solution
K-means can be sensitive to the initial placement of centroids, which can lead to different clustering results on different runs.
Correct Answer: C — It can be sensitive to the initial placement of centroids
Q. Which of the following statements is true about K-means clustering?
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A.
It can only be applied to large datasets
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B.
It is sensitive to the initial placement of centroids
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C.
It guarantees finding the global optimum
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D.
It can handle categorical data directly
Solution
K-means is sensitive to the initial placement of centroids, which can affect the final clustering result.
Correct Answer: B — It is sensitive to the initial placement of centroids
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