Multiple Choice
The first step in the k-means clustering algorithm is ________.
A) determining the initial k clusters
B) calculating cluster centroids (means)
C) recalculating and reassigning cluster centroids
D) randomly assigning and designating a cluster seed as the initial cluster centroid
Correct Answer:
Verified
Correct Answer:
Verified
Q24: In which of the following methods of
Q25: The Matching coefficient approach of measuring similarity
Q26: Identify a true statement regarding the divisive
Q27: Explain how cluster analysis functions.
Q28: The _ approach of measuring similarity between
Q30: In the k-means clustering analysis, the silhouette
Q31: Ward's method measures the average distance between
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Q34: The k-means clustering method can be inefficient