Accession Number:

ADA170874

Title:

Conceptual Clustering Using Relational Information.

Descriptive Note:

Interim rept. Jan-Apr 86,

Corporate Author:

CALIFORNIA UNIV IRVINE DEPT OF INFORMATION AND COMPUTER SCIENCE

Personal Author(s):

Report Date:

1986-06-23

Pagination or Media Count:

16.0

Abstract:

Work in conceptual clustering has focused on creating classes from objects with a fixed set of features, such as color or size. In this paper we describe a system which uses relations between the objects being clustered as well as features of the objects to form a hierarchy tree of classes. Unlike previous conceptual clustering systems, this algorithm can define new attributes. Using relational information the system is able to find object classifications not possible with conventional conceptual clustering methods. Author

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE