________ is frequently referred to as k-means clustering.
A) Non-hierarchical clustering
B) Ward's method
C) Agglomerative clustering
D) Divisive clustering

Question

Quizplus · Accepted Answer

K-means clustering is a type of non-hierarchical clustering, where the algorithm attempts to group similar data points into a predetermined number of clusters (k). The algorithm iteratively assigns each data point to one of the k clusters based on the proximity to the center of that cluster, and recalculates the cluster centers until convergence.

________ Is Frequently Referred to as K-Means Clustering