Clustering

Clustering is the task of grouping unlabeled data points into non-overlapping subsets, with each data point assigned to only one category. The goal of clustering is to reasonably group data points based on their similarities and reveal the inherent structure and patterns in the data, without prior knowledge of the number of categories. Clustering techniques have significant application value in data analysis, pattern recognition, image processing, and other fields, helping researchers and practitioners discover hidden relationships and features in the data.