clustering of empirical survey data, aims to identify clusters of behavioral intentions for using VR in tourism based on an …

. To address this question, we propose a weighted compositional clustering approach aimed at tackling the trajectories and …

The K-means algorithm and its variants are well-known clustering techniques. In actuarial applications, these …-established clustering methods to complex insurance datasets containing both categorical and numerical variables. To achieve this, we propose … heterogeneous insurance data. Additionally, we adapt spectral clustering, a technique based on graph theory that accommodates non …

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