| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10480702 | Physica A: Statistical Mechanics and its Applications | 2012 | 10 Pages |
Abstract
⺠This paper introduces an approach for data clustering based on complex networks. ⺠Methods for community identification can improve graph clustering methods. ⺠The Minkowski distance provides the most accurate results. ⺠Complex networks can improve the clustering methods based on graphs.
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
Guilherme F. de Arruda, Luciano da Fontoura Costa, Francisco A. Rodrigues,