👉 Clusters, or more specifically, cluster analysis, is a statistical method used to group similar data points into clusters based on their characteristics. This technique identifies natural groupings within a dataset where items within the same cluster exhibit high similarity to each other and low similarity to those in other clusters. The process involves measuring distances or dissimilarities between data points and then applying algorithms (like k-means, hierarchical clustering, or DBSCAN) to form these clusters. Each cluster represents a distinct subset of the data with common attributes or features, helping to reveal underlying patterns, structures, or segments that might not be apparent when looking at the data in isolation. This method is widely used in various fields, including marketing, biology, and social sciences, to gain insights into complex datasets and make informed decisions.
