Multiple Choice
In hierarchical clustering, approaches such as ________ are most often used when numerical variables are analyzed.
A) Matching coefficient or the Manhattan distance
B) Jaccard's coefficient or the Euclidean distance
C) the Euclidean distance or the Manhattan distance
D) Matching coefficient or Jaccard's coefficient
Correct Answer:

Verified
Correct Answer:
Verified
Q3: In which of the following functions is
Q4: Which of the following is true of
Q5: A typical silhouette score ranges between _.<br>A)
Q6: Summarize practitioner Kaitlin Marvin's views about the
Q7: In the _ method of linking individual
Q9: Compare and contrast hierarchical and k-means cluster
Q10: Explain how a dendrogram is used to
Q11: In the _ method of linking individual
Q12: When running k-means clustering, it is best
Q13: K-means clustering uses the mean value for