Title :
Using a semisupervised fuzzy clustering process for identity identification in digital libraries
Author :
Diaz-Valenzuela, Irene ; Martin-Bautista, Maria J. ; Amparo Vila, M.
Author_Institution :
Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain
Abstract :
This paper introduces a new semisupervised fuzzy algorithm that makes use of must-link and cannot-link constraints. These constraints are applied to the process of finding the optimum α-cut of a dendrogram. We have applied this method to identity identification in digital libraries.
Keywords :
digital libraries; fuzzy set theory; learning (artificial intelligence); pattern clustering; trees (mathematics); cannot-link constraints; digital libraries; identity identification; must-link constraints; optimum dendogram α-cut; semisupervised fuzzy clustering process; Analysis of variance; Clustering algorithms; Computer science; Electronic mail; Libraries; Manganese; Uncertainty;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608508
