Combination of Density‐Based Spatial Clustering With Grid Search Using Nash Equilibrium

Engineering Reports, Год журнала: 2025, Номер 7(3)

Опубликована: Март 1, 2025

ABSTRACT This paper introduces a novel clustering approach that enhances the traditional Density‐Based Spatial Clustering of Applications with Noise ( DBSCAN ) algorithm by integrating grid search method and Nash Equilibrium principles addresses limitations parameterization, particularly its inefficiency big data. The use equilibrium allows identification clusters different densities determination parameters selection cells from network, significantly improves efficiency accuracy process. proposed divides data into cells, applies to each cell, then merges smaller clusters, capitalizing on dynamic parameter calculation reduced computational complexity. performance was assessed over 3 big‐size 11 middle‐size datasets. achieved results implied superiority , ST‐DBSCAN P‐DBSCAN GCBD CAGS methods in terms (purity) processing time.

Язык: Английский

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Adaptive gravitational clustering algorithm integrated with noise detection

Expert Systems with Applications, Год журнала: 2024, Номер unknown, С. 125733 - 125733

Опубликована: Ноя. 1, 2024

Язык: Английский

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Unbiased news recommendation model combining time and content

Expert Systems with Applications, Год журнала: 2024, Номер 256, С. 124864 - 124864

Опубликована: Июль 23, 2024

Язык: Английский

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PP4RNR: Popularity- and Position-Aware Contrastive Learning for Retrieval-Driven News Recommendation

Опубликована: Окт. 20, 2024

Язык: Английский

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