k-means clustering algorithm can be summarized as all of the following except for
A) Can be either numerical or character variables.
B) Specify the k value.
C) Randomly assign k observations as cluster centers.
D) Assign each observation to its nearest cluster center.

Question

Quizplus · Accepted Answer

K-means clustering algorithm works with numerical variables only because it relies on calculating distances between data points and cluster centers. Character variables cannot be directly used in these calculations without being converted to numerical values through some form of encoding.

K-Means Clustering Algorithm Can Be Summarized as All of the Following