Chapter 10 of 'Data Mining: Concepts and Techniques' covers cluster analysis, introducing basic concepts and various clustering methods including partitioning, hierarchical, density-based, and grid-based methods. It discusses the applications of clustering in fields such as biology, marketing, and urban planning, as well as the importance of cluster quality and the challenges faced in clustering tasks. The chapter outlines key methodologies like k-means and k-medoids, and highlights the significance of selecting appropriate distance metrics and proximity measures in clustering analysis.