K-MEANS CLUSTERING K-Means clustering is a powerful and efficient algorithm for grouping data points into clusters based on similarity. Despite its simplicity, it is widely used in various fields due to its scalability, ease of use, and effectiveness in uncovering patterns in large datasets. However, it is important to consider its limitations, such as sensitivity to … Continue reading Unsupervised learning