Question

What is the primary objective of the K-means clustering algorithm in data analysis?

Q: Answer-What is the primary objective of the K-means clustering algorithm in data analysis?

The K-means clustering algorithm is an unsupervised learning technique used in data analysis to partition a dataset into K distinct clusters. The primary objective of K-means is to group data points into clusters where each data point belongs to the cluster with the nearest mean centroid, which minimizes the within-cluster variance.