K-Means is a clustering learning algorithm widely used in data analysis. Its primary goal is to partition a dataset into separate groups, or sets, based on the similarity of their features. Each instance in the dataset is assigned to a single cluster, with the aim of minimizing the distance between points within each cluster and maximizing the disp… Read More