Which of the following is NOT CORRECT for the Elbow method?
A.
The Elbow method is used to determine the number of clusters to be formed.
B.
In K-means clustering, the ideal number of clusters is established using the elbow method.
C.
The elbow method is a heuristic used in cluster analysis to estimate the number of clusters present in a dataset.
D.
All of the above
E.
None of the above
The Answer Is:
E
Want to know why?
Explanation:
The correct answer is E. None of the above because all three statements about the Elbow method are correct. The Elbow method is commonly used in unsupervised learning, especially with K-means clustering, to help estimate an appropriate number of clusters. It works by running clustering with different values of K and measuring the within-cluster variation or distortion. As K increases, the error usually decreases, but after a certain point the improvement becomes much smaller. That point is visually interpreted as the “elbow.”
Statement A is correct because the Elbow method helps determine how many clusters should be formed. Statement B is also correct because it is widely used with K-means clustering to select a suitable value of K. Statement C is correct because the method is a heuristic, meaning it is a practical estimation technique rather than an exact mathematical guarantee. Since A, B, and C are all correct, none of them is NOT correct. Therefore, the correct answer is E. None of the above .
