1990 | OriginalPaper | Chapter
Agglomerative Hierarchical Multicriteria Clustering Using Decision Rules
Authors : V. Batagelj, A. Ferligoj
Published in: Compstat
Publisher: Physica-Verlag HD
Included in: Professional Book Archive
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In a multicriteria clustering problem optimization over more than one criterion is required. The problem can be treated in different ways. In this paper the agglomerative hierarchical method based on decision rules for making decisions under uncertainty is proposed for solving multicriteria clustering problem. An application of proposed approach to Rosenberg and Kim kinship data is presented.