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Questions and Answers
What is a common practice when initializing centroids in K-means Clustering?
What is a common practice when initializing centroids in K-means Clustering?
In K-means Clustering, what role do centroids play?
In K-means Clustering, what role do centroids play?
Which of the following is a key component of the partitional clustering approach used in K-means Clustering?
Which of the following is a key component of the partitional clustering approach used in K-means Clustering?
What is the significance of distance metrics in K-means Clustering?
What is the significance of distance metrics in K-means Clustering?
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How are initial centroids typically chosen in K-means Clustering?
How are initial centroids typically chosen in K-means Clustering?
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What is a common characteristic of K-means convergence according to the text?
What is a common characteristic of K-means convergence according to the text?
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Why is it mentioned that most of the convergence in K-means happens in the first few iterations?
Why is it mentioned that most of the convergence in K-means happens in the first few iterations?
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In K-means clustering, why is the choice of initial centroids critical?
In K-means clustering, why is the choice of initial centroids critical?
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What is a caution that should be considered when applying K-means clustering?
What is a caution that should be considered when applying K-means clustering?
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Which statement best reflects the significance of early convergence in K-means clustering?
Which statement best reflects the significance of early convergence in K-means clustering?
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