Clustering

Clustering is a process used in data analysis and machine learning that involves grouping a set of objects in such a way that objects within the same group, or cluster, are more similar to each other than to those in other groups. This similarity can be based on various attributes or features of the objects being analyzed. Clustering helps to identify patterns, structures, or divisions within the data, which can lead to insights about the underlying relationships among the data points.Clustering is an unsupervised learning technique, meaning that it does not rely on pre-defined labels or categories but instead finds natural groupings in the data. Common algorithms used for clustering include k-means, hierarchical clustering, and DBSCAN. Clustering has applications across various fields such as marketing, biology, image processing, and social network analysis, among others, where it is crucial to understand and interpret large sets of data efficiently.