Clustering patterns

Clustering patterns refer to the way similar items or data points group together based on shared characteristics. Think of it like organizing a collection of books by genre or grouping people by common interests. In data analysis, clustering helps identify natural groupings within data, revealing underlying structures or patterns. This technique is useful across fields like marketing, biology, and social sciences, as it uncovers hidden relationships and simplifies complex data by highlighting what belongs together. Ultimately, clustering helps make sense of large, complex datasets by highlighting meaningful groupings.