The k-means clustering method can be inefficient and complex when used with large sample sizes.
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Q20: Explain how cluster analysis functions.
Q21: Identify a true statement regarding the divisive
Q22: Which of the following statements is true
Q23: Ward's method measures the average distance between
Q24: K-means clustering uses the mean value for
Q26: In the _ method of linking individual
Q27: In the k-means clustering algorithm, what happens
Q28: In hierarchical clustering, approaches such as _
Q29: Distinguishing clusters from the larger population or
Q30: Data groups exhibit dissimilar characteristics (heterogeneity) within
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