K Means Clustering

K-Means Clustering is a widely used unsupervised machine learning algorithm that partitions data points into groups of equal sizes, known as clusters. It identifies the relationships between data points by grouping them together. This allows us to discover hidden patterns or trends in data and make predictions. K-Means Clustering is also used in a variety of applications such as segmentation in marketing, customer segmentation, and image compression. It is a powerful tool for data analysis, allowing businesses to make better decisions and maximize their profits.