Description: A clustering algorithm is a technique used in the field of computer science and data science to organize and classify similar elements into groups or clusters. This type of algorithm allows for the identification of patterns and relationships within a dataset, facilitating the understanding and analysis of information. Clustering algorithms are fundamental in exploratory data analysis, where the goal is to discover hidden structures without predefined labels. By using various similarity metrics, these algorithms can group data based on common characteristics, which is useful in multiple applications, from customer segmentation to anomaly detection in data. The versatility of clustering algorithms makes them essential tools in machine learning and artificial intelligence, where they are used to enhance decision-making and optimize processes. In the context of databases, clustering algorithms can be implemented through queries that use aggregation functions and specific clauses to organize data into meaningful sets, allowing analysts and developers to extract valuable insights from complex datasets.
