 Most conceptual clustering methods are capable of generating hierarchical category structures; see Categorization for more information on hierarchy.Conceptual clustering is closely related to formal concept analysis, decision tree learning, and mixture model learning.Conceptual clustering is obviously closely related to data clustering; however, in conceptual clustering it is not only the inherent structure of the data that drives cluster formation, but also the Description language which is available to the learner.