A PSO-Based Subtractive Data Clustering Algorithm

Article Properties
Cite
El-Tarabily, Mariam, et al. “A PSO-Based Subtractive Data Clustering Algorithm”. International Journal of Research in Computer Science, vol. 3, no. 2, 2013, pp. 1-9, https://doi.org/10.7815/ijorcs.32.2013.060.
El-Tarabily, M., Abdel-Kader, R., Marie, M., & Abdel-Azeem, G. (2013). A PSO-Based Subtractive Data Clustering Algorithm. International Journal of Research in Computer Science, 3(2), 1-9. https://doi.org/10.7815/ijorcs.32.2013.060
El-Tarabily M, Abdel-Kader R, Marie M, Abdel-Azeem G. A PSO-Based Subtractive Data Clustering Algorithm. International Journal of Research in Computer Science. 2013;3(2):1-9.
Citations
Title Journal Journal Categories Citations Publication Date
BM-RCGL: Benchmarking Approach for Localization of Reliability-Critical Gates in Combinational Logic Blocks IEEE Transactions on Computers
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
2 2022
An enhanced genetic algorithm with new mutation for cluster analysis Computational Statistics
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
13 2019
Detecting overlapping communities in LBSNs by fuzzy subtractive clustering Social Network Analysis and Mining
  • Science: Science (General): Cybernetics: Information theory
5 2018
Optimizing Dynamic Multi-Agent Performance in E-Learning Environment IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2018
Fast Defense System Against Attacks in Software Defined Networks IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2018
Citations Analysis
The category Science: Science (General): Cybernetics: Information theory 3 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Combining K-Means and K-Harmonic with Fish School Search Algorithm for data clustering task on graphics processing units and was published in 2016. The most recent citation comes from a 2022 study titled BM-RCGL: Benchmarking Approach for Localization of Reliability-Critical Gates in Combinational Logic Blocks. This article reached its peak citation in 2018, with 3 citations. It has been cited in 6 different journals, 16% of which are open access. Among related journals, the IEEE Access cited this research the most, with 2 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year