Browsing by Author "Reporter: BILAL, Lounnas"

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    A Comparative Analysis of Density Based Clustering Algorithms in Complex Datasets
    (Mohamed Boudiaf University of M'sila, 2025-06-15) CHAIMA, BOUZIDI; NESSRINE KHAWLA, ABDELLAOUI; Reporter: BILAL, Lounnas
    This dissertation conducts a comparative analysis of density-based clustering algorithms, fo cusing on their performance in complex datasets. The study examines popular algorithms such as DBSCAN, OPTICS, and HDBSCAN, evaluating them across diverse criteria, in cluding cluster quality, computational efficiency, and robustness to noise. Through exper iments on real-world and synthetic datasets, the research aims to identify the strengths and limitations of each algorithm, providing valuable insights for selecting appropriate methods in various data mining applications.