What is clustering algorithms?

Clustering algorithms are unsupervised machine learning techniques that group data points into clusters based on similarity. The goal is to find natural groupings in data, where data points within a cluster are more similar to each other than to those in other clusters. Common uses include customer segmentation, anomaly detection, image analysis, and document categorization. Examples of clustering algorithms include k-means, hierarchical clustering, DBSCAN, and Gaussian mixture models.