Name
Title | ||
|---|---|---|
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks. |
Abstract | ||
|---|---|---|
•New gravitational clustering method to adaptively estimate the number of clusters based on a set of features.•Key idea: exploit gravitational force between mass units to determine regions of highest density of feature vectors, i.e. the clusters.•Required for object/source labelling under the multi device multi task paradigm.•Cooperative and distributed cluster enumeration achieved by diffusion-adaptation scheme.•Application to distributed cooperative multi-view camera networks shows the applicability to real-world problems. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.sigpro.2018.02.034 | Signal Processing |
Keywords | DocType | Volume |
Adaptive distributed clustering,Cluster enumeration,Robust,Outlier,Multi device multi task (MDMT),Wireless sensor networks,Labelling | Journal | 149 |
ISSN | Citations | PageRank |
0165-1684 | 0 | 0.34 |
References | Authors | |
40 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| patricia binder | 1 | 16 | 1.65 |
| Michael Muma | 2 | 144 | 19.51 |
| Abdelhak M. Zoubir | 3 | 1036 | 148.03 |