Concept formation by incremental conceptual clustering
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TL;DR
INC, a program that generates a hierarchy of concept descriptions incrementally that searches a space of classification hierarchies in both top-down and bottom-up fashion, is described.
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. 1.