Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm

Authors
Hathaway, RJ Bezdek, JC
Citation
Rj. Hathaway et Jc. Bezdek, Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm, PATT REC L, 23(1-3), 2002, pp. 151-160
Citations number
18
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
PATTERN RECOGNITION LETTERS
ISSN journal
01678655 → ACNP
Volume
23
Issue
1-3
Year of publication
2002
Pages
151 - 160
Database
ISI
SICI code
0167-8655(200201)23:1-3<151:CIRDUT>2.0.ZU;2-V
Abstract
An approach for clustering on the basis of incomplete dissimilarity data is given. The data is first completed using simple triangle inequality-based approximation schemes and then clustered using the non-Euclidean relational fuzzy c-means algorithm. Results of numerical tests are included. (C) 2002 Elsevier Science B.V. All rights reserved.