Sökning: "k-means"
Visar resultat 26 - 30 av 277 uppsatser innehållade ordet k-means.
26. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset
Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenSammanfattning : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. LÄS MER
27. Statistical Analysis on Aerodynamics of Passenger Vehicles
Master-uppsats, Uppsala universitet/Sannolikhetsteori och kombinatorikSammanfattning : This thesis aims to use statistical methods to analyze wind tunnel data generated in automotive aerodynamics testing to understand the properties of aerodynamic force and pressure in a vehicle's working environment. The data used for analysis are visualized, clustered and finally analyzed for Granger causality to see whether a causal link exists between different variables. LÄS MER
28. Evaluation of real drive data of a refuse fuel cell truck
Master-uppsats, KTH/KemiteknikSammanfattning : Ett konsortium bestående av Scania, JOAB, Powercell, KTH och Renova samarbetade för att designa och konstruera en bränslecellsdriven sopbil inom ett FFI-finansierade projekt. Sopbilen har sedan dess varit i drift i Göteborg från 2020 till 2023, med en vätgasinfrastruktur bestående av en tankstation vid tidpunkten för detta arbete. LÄS MER
29. Comparing the effect of random and contextual removal of images on object detection performance
Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologiSammanfattning : As datasets grow, the need for automated methods to ensure dataset quality arises. This report presents an experiment conducted on the MSCOCO train2017 dataset to identify image outliers using a force-directed graph built from a co-occurrence context, focusing on the mean average precision and average precision. LÄS MER
30. Fault-Tolerant Over-the-Air Federated Learning with Clustered Aggregation : Using a hierarchical architecture with hybrid digital and analog communication, to deal with byzantine users in Federated Learning over wireless networks.
Master-uppsats, Linköpings universitet/KommunikationssystemSammanfattning : Rapid advancements in modern AI applications have placed unprecedented demands on large-scale connectivity and data aggregation. The vision of Internet-of-Things (IoT) is supported by a massive amount of distributed sensors and wireless devices that generate useful data for these applications. LÄS MER