Why is it necessary to have a normalized scale when completing a clustering analysis? To determine k values, To stabilize the centroids. To ensure observations are placed in clusters based predominant characteristics (not due to different measurement scales) To ensure equal Ei-lidean distance measures are used. Which of the following approaches used to determine k, requires performing several analyses using different values for k, then examining the results afterwards to decide which is most suitable? 68.95.99 Rule Tractability Post-Hoc Evaluation Elbow Rule Question 14 Do centroid values always remain the same value no matter how many new observations are added to their clusters? Why or why not? Yes, centroid values always remain the same value because additional values do not change the value of the centroid. None of the answers are correct. No, centroid values change sere more observations are added to their clusters. This is because they are constantly readjusting to become the mean value of all the observations within that cluster. No, centroid values change as more observations are added to their clusters; this randomly changes the centroid value