What is K-Means Clustering?

Partition data into k clusters. K-Means Clustering is a beginner machine learning algorithm used for discovering patterns in unlabeled data. Before learning K-Means Clustering, you should understand: vectors-basics, convergence. Real-world applications include: Customer segmentation, Image compression, Document clustering. This is a foundational concept suitable for beginners.