Abstract: The density peaks clustering (DPC) algorithm is a density-based clustering method that effectively identifies clusters with uniform densities. However, if the datasets have uneven density, ...

Abstract: Radar is an emerging and attractive sensing modality for automotive applications due to its relatively low cost, robustness in the face of inclement weather, and ability to detect both ...

Density-based clustering for vector embeddings using HDBSCAN and cosine similarity. Features automatic parameter search, PCA, and quality metrics without defining cluster counts.

Introduction: Automated apple harvesting is hindered by clustered fruits, varying illumination, and inconsistent depth perception in complex orchard environments. While deep learning models such as ...