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

Engineering Reports, Journal Year: 2025, Volume and Issue: 7(3)

Published: March 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.

Language: Английский

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Adaptive gravitational clustering algorithm integrated with noise detection

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: unknown, P. 125733 - 125733

Published: Nov. 1, 2024

Language: Английский

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Unbiased news recommendation model combining time and content

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 256, P. 124864 - 124864

Published: July 23, 2024

Language: Английский

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

Published: Oct. 20, 2024

Language: Английский

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