In partnership with Andreas Züfle [1], this repository is an implementation for a proposed optimization of the largely popular DBSCAN [2]. This optimization aims to improve the time complexity of ...

Abstract: Analyzing network traffic logs to identify cyberattacks is crucial for upholding cybersecurity. Conventional approaches to anomaly detection may falter with high-dimensional and noisy ...

In table grape production, berry thinning is a vital management practice where workers remove berries to achieve a target number per cluster. However, this process fundamentally depends on obtaining ...

Abstract: DBSCAN (Density-Based Spatial Clustering of Applications with Noise) has been recognized as a powerful clustering algorithm for detecting non-linearly separable clusters but has faced ...