of Moments (GMM) estimation procedure with K-means cluster analysis. K-means clustering is a fundamental tool within AI …

of Moments (GMM) estimation procedure with K-means cluster analysis. K-means clustering is a fundamental tool within AI …

intelligence adoption process, its dynamics and patterns using principal component analysis and K-means clustering. The results …

, including Word2Vec, Doc2Vec, and K-Means clustering, the analysis identifies key differences in pricing strategies, property …

, including Word2Vec, Doc2Vec, and K-Means clustering, the analysis identifies key differences in pricing strategies, property …

discrete approximation of the unobserved heterogeneity by (k-means) clustering observations separately across the individual (i …

relationships, this is often hampered by the quality and availability of data. Adopting a different approach, this paper applies K-means … quality measures. K-means analysis points to similar relative inequality levels but substantially different absolute …