Name
Title | ||
|---|---|---|
Using a semisupervised fuzzy clustering process for identity identification in digital libraries |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/IFSA-NAFIPS.2013.6608508 | IFSA World Congress and NAFIPS Annual Meeting |
Keywords | Field | DocType |
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 | Data mining,Fuzzy clustering,Pattern clustering,Dendrogram,Fuzzy logic,Fuzzy set,Artificial intelligence,Digital library,Cluster analysis,Machine learning,Mathematics | Conference |
Citations | PageRank | References |
3 | 0.41 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Irene Diaz-Valenzuela | 1 | 29 | 2.92 |
| Maria J. Martín-Bautista | 2 | 208 | 23.79 |
| María Amparo Vila Miranda | 3 | 1182 | 93.57 |
| Diaz-Valenzuela, I. | 4 | 3 | 0.41 |
| Martin-Bautista, M.J. | 5 | 11 | 1.96 |
| Amparo Vila, M. | 6 | 6 | 0.81 |