Career Perspectives and Pathways: A Multi-Method Clustering Analysis of First-year Business Students
This study examines first-year business students’ career perspectives and pathways through the lens of clustering analysis. Using Particle Swarm Optimization (PSO), K-means, and Hierarchical Clustering techniques, the data reveals three distinct student clusters: a goal-oriented group focused on traditional business careers, an exploratory cluster still discovering their passions, and a smaller segment of passion-driven individuals […]

