article · 2025

Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm

Reza Ahmari, Ahmad Mohammadi, Vahid Hemmati, Parham M. Kebria, Abdollah Homaifar

Cited by 1Abstract and details only

Abstract

Dynamic clustering is a critical task for applications involving streaming data, such as customer behavior analysis and real-time pattern recognition. Traditional clustering algorithms like KMeans struggle to adapt to evolving data distributions, especially in non-convex or noisy environments. This paper presents a Genetic Algorithm (GA)-based dynamic clustering framework designed to handle such challenges effectively. Our method encodes cluster centers as chromosomes and employs a fitness function that minimizes the Sum of Squared Errors (SSE) while penalizing unassigned clusters. We evaluate the proposed method on both synthetic datasets (e.g., moons and Gaussian blobs) and a real-world customer dataset. Experimental results demonstrate that our GA-based approach outperforms KMeans in adaptability and robustness across time steps, with visual evidence and fitness score comparisons. The proposed system highlights the potential of evolutionary algorithms in adaptive learning scenarios, particularly in dynamic data stream environments.

Cite this paper

APA 7

Ahmari, R., Mohammadi, A., Hemmati, V., Kebria, P. M., & Homaifar, A. (2025). Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm. https://doi.org/10.1109/intcec65580.2025.11256018

MLA 9

Ahmari, Reza, et al. “Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm.” 2025, pp. 1–5, https://doi.org/10.1109/intcec65580.2025.11256018.

Chicago

Ahmari, Reza, Ahmad Mohammadi, Vahid Hemmati, Parham M. Kebria, and Abdollah Homaifar. 2025. “Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm.” https://doi.org/10.1109/intcec65580.2025.11256018.

Harvard

Ahmari, R. et al. (2025) ‘Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm’. Available at: https://doi.org/10.1109/intcec65580.2025.11256018.

BibTeX

@article{ahmari2025adaptive,
  title = {{Adaptive Dynamic Clustering for Streaming Data using Genetic Algorithm}},
  author = {Ahmari, Reza and Mohammadi, Ahmad and Hemmati, Vahid and Kebria, Parham M. and Homaifar, Abdollah},
  pages = {1--5},
  year = {2025},
  doi = {10.1109/intcec65580.2025.11256018}
}

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