k-means clustering is the process of
A)agglomerating observations into a series of nested groups based on a measure of similarity.
B)organizing observations into distinct groups based on a measure of similarity.
C)reducing the number of variables to consider in data-mining.
D)estimating the value of a continuous outcome variable.

Question

Quizplus · Accepted Answer

k-means clustering is a process of dividing observations into distinct groups based on a measure of similarity. It does not involve agglomerating observations into nested groups or reducing variables, nor does it estimate the value of a continuous outcome variable.

K-Means Clustering Is the Process of