During the past seventy years, the field of cluster analysis has emerged, accompanied by a plethora of methods, algorithms, concepts, and terminology that are used in cluster-related research. We refer to cluster analysis (CA) as a general approach composed of several multivariate methods for delineating natural groups or clusters in data sets. In this paper, we describe the ability of CA to provide rich information about the individual case and highlight potential underlying social processes.