This workshop comprehensively introduces machine learning concepts and practical implementation using Python and scikit-learn ... Selection and Engineering 09:00 - 10:30: Clustering Algorithms ...

MAIN CONCLUSIONS The use of agglomerative hierarchical clustering, a novel application of a non-supervised algorithm in this context, highlighting the integration of multiple epidemiological and ...

To this end, we propose a Hierarchical Federated Learning Framework for Object Detection (HFL-OD) to enhance the robustness of UAV cluster conducting object detection missions. In HFL-OD, UAVs are ...

The implementation follows the algorithm described in "Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs" by Malkov & Yashunin (2016). The ...

In fact, these clustering algorithms allow the structuring of the network into groups of entities called clusters creating a hierarchical structure. Each cluster contains a particular node called ...