 Conceptual clustering is a modern variation of the classical approach of categorization, and derives from attempts to explain how knowledge is represented.In this approach, classes (clusters or entities) are generated by first formulating their conceptual descriptions and then classifying the entities according to the descriptions.Conceptual clustering developed mainly during the 1980s, as a machine paradigm for unsupervised learning.