Proper Global Shared Preference Detection Based on Golden Section and Genetic Algorithm for Affinity Propagation Clustering
Affinity propagation (AP) clustering is a well-known effective clustering algorithm that outperforms other traditional clustering algorithms. However, the quality of clustering results depends considerably on related sensitive parameters (i.e., preferences and the damping factor). Thus, a feasible p...
Saved in:
| Main Authors: | Libin Jiao, Rongfang Bie, Guangzhi Zhang, Shenling Wang, Rashid Mehmood |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2016-07-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/155014779807206 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Sports Motion Recognition Using MCMR Features Based on Interclass Symbolic Distance
by: Yu Wei, et al.
Published: (2016-05-01) -
Search Strategy Optimization of Affine Propagation Clustering Algorithm
by: DONG Jing-wei, et al.
Published: (2018-06-01) -
Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering
by: Junbin Zhuang, et al.
Published: (2025-01-01) -
Wireless Propagation Multipaths using Spectral Clustering and Three-Constraint Affinity Matrix Spectral Clustering
by: Jojo Blanza
Published: (2021-06-01) -
Vehicular Ad Hoc Networks: Architectures, Research Issues, Methodologies, Challenges, and Trends
by: Wenshuang Liang, et al.
Published: (2015-08-01)