Comparing Machine Learning Models for Ukrainian Households Clustering through the Prism of Expenditures
Household expenditure patterns in Ukraine were explored with a focus on clustering techniques to uncover socioeconomic insights and inform policy interventions. Using an officially published Household Income Survey dataset for 2021, the research applies advanced machine learning models, including k-means, DBSCAN, and PCA, to analyze spending habits and identify household profiles with distinct exp
