Dynamic clustering using particle swarm optimization with application in image segmentation
By Mahamed G. H. Omran, Ayed A. Salman, Andries Petrus Engelbrecht. Pattern Analysis and Applications, 2006
294 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/225d58437c4691ad5be8d766e02274de15fd5d7c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Rodrigo Amador Coelho
- Ahmed Ali Abdalla Esmin
- Stan Matwin
- Ugo Reggiani
- Marcello Artioli
- Leonardo Sandrolini
In Computer Vision and Pattern Recognition
- Rodrigo Amador Coelho
- Ahmed Ali Abdalla Esmin
- Stan Matwin
- Ugo Reggiani
- Marcello Artioli
- Leonardo Sandrolini
Citations in the corpus
- Numerical method for the extraction of photovoltaic module double-diode model parameters through cluster analysis (2010, methodology): “combines the PSO strategy [18,19] and cluster analysis [20–22] (see Fig.”
- A review on particle swarm optimization algorithm and its variants to clustering high-dimensional data (2013, methodology): “…algorithms such as, GCUK- Genetic Clustering with an Unknown number of clusters K (Maulik and Bandyopadhyay 2002), the DCPSO-Dynamic Clustering PSO (Omran et al. 2006), an ordinary PSO based kernel-clustering method, and the kernel K-means and a kernelized version of the subtractive clustering…”