Sökning: "Emilie Ståhle"

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  1. 1. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Emilie Ståhle; Emilie Haubrich; [2023]
    Nyckelord :Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Sammanfattning : 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