Name
Abstract | ||
|---|---|---|
•A dynamic clustering algorithm for tracking evolving environments is presented.•It is able to handle non-convex, overlapping, multi-density distributions.•Input data can be processed in batch or in stream mode to adapt to the process. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2019.05.024 | Pattern Recognition |
Keywords | DocType | Volume |
Dynamic clustering,Data mining,On-line learning,Time-series,Data streams,Multi-density clustering | Journal | 94 |
Issue | ISSN | Citations |
1 | 0031-3203 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nathalie Barbosa Roa | 1 | 0 | 0.34 |
| L. Travé/-massuyè/s | 2 | 394 | 54.06 |
| Victor H. Grisales-Palacio | 3 | 0 | 0.34 |