Clustering Methods: K-means, Hierarchical - Competitive Exam Level
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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