Questions
BU.330.775.T2.FA25 Final- Requires Respondus LockDown Browser
Single choice
Which of the following statements about the K-means clustering algorithm is true?
Options
A.K-means clustering assigns each data point to the cluster with the farthest centroid.
B.K-means randomly places data points into groups and never updates them.
C.Inertia in K-means always increases as the number of clusters (K) increases.
D.The elbow method helps decide how many groups (K) to use by looking for a point where adding more groups doesn’t improve the fit significantly.
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Question: Which of the following statements about the K-means clustering algorithm is true?
Option 1: 'K-means clustering assigns each data point to the cluster with the farthest centroid.' This is incorrect. K-means assigns each data point to the nearest centroid (i.e., the closest cluster center) to minimize within-cluster variance, not the farthest one.
Option 2: 'K-means rand......Login to view full explanationLog in for full answers
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