In the context of "MarketInsights" using k-means clustering for market segmentation, which sexient most accurately describes the process alternatively segmentation time?
A. The algorithm maximizes the sum of the squared distances between data points and I corresponding cluster centroid, ensuring each cluster is as distinct as possible.
B. Each data point is assigned to the cluster with the farthest mean (cluster centroid) t clear differentiation between clusters.
C. The algorithm partitions the data into k clusters by minimizing the sum of the sq distances between data points and their corresponding cluster centroid, ensuring homogeneous as possible.
D. The objective of the k-means algorithm is to maximize the variance within ea highlight the differences between data points in the same cluster.
E. The algorithm aims to partition n observations into clusters where the sum o between data points within each cluster is maximized, creating distinct and ser