(ANN) with clustering techniques. We focus on hyperparameter tuning with various input parameters to obtain optimal ANN …

with similar wealth rank histories using agglomerative hierarchical clustering, a tool from statistical learning. The …

Purpose To enhance portfolio decision-making using a capital asset pricing model-based clustering analysis. Design …/methodology/approach Capital asset pricing model (CAPM); K-means clustering; agglomerative clustering. Findings Employing clustering along with … for clustering, thereby integrating additional dimensions of risk and return. …

hierarchical clustering and multidimensional scaling to panel data. The complete-link method organizes countries into clusters … Clustering highlights the Visegrád countries, the Baltics, and the Balkans as zones with internally homogeneous yet externally … clustering solutions that deviate from conventional understandings of central and eastern Europe. Conclusions Historical and …