Concept formation by incremental conceptual clustering

Authors:
Mirsad Hadzikadic;David Y. Y. Yun
Affiliations:
The University of North Carolina, Department of Computer Science, Charlotte, NC;Southern Methodist University, Dept. of Computer Science and Engineering, Dallas, TX
Venue:
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
Year:
1989

Citing 3
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Abstract

Incremental conceptual clustering is an important area of machine learning. It is concerned with summarizing data in a form of concept hierarchies, which will eventually ease the problem of knowledge acquisition for knowledge-based systems. In this paper we have described INC, a program that generates a hierarchy of concept descriptions incrementally. INC searches a space of classification hierarchies in both top-down and bottom-up fashion. The system was evaluated along four dimensions and tested in two domains: universities and countries.