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Which of the following is NOT CORRECT for the Elbow method?
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.