COBWEB is an incremental system for hierarchical conceptual clustering. COBWEB incrementally organizes observations into a classification tree. Each node in a classification tree represents a class (concept) and is labeled by a probabilistic concept that summarizes the attribute-value distributions of objects classified under the node. This classification tree can be used to predict missing attributes or the class of a new object.
References
Ref. D. Fisher, “Improving Inference through Conceptual Clustering,” in Proceedings of 1987 AAAI Conferences, Seattle Washington, pp. 461-465, July 1987.
