) model with a pre-selection stage that uses a prototype-based clustering algorithm to reduce the number of crypto assets … considered at each investment period. In the pre-selection stage, we run a prototype-based clustering algorithm where the assets … are described by variables representing the profit-risk duality. The prototypes of the clustering partition are …

multiple operations, we employ a clustering approach on 69 firm characteristics and allocate companies to novel economic … to quantify feature importance for clustering methods, finding that size drives differences across classical industries … while book-to-market and financial liquidity variables matter for clustering-based sectors. …

develop a clustering-based approach to sustainable supplier segmentation. Design/methodology/approach - The characteristics of … determined using the best-worst method. Then, the K-means clustering algorithm was applied to all company suppliers based on four … results prove that supplier segmentation is more efficient when using clustering algorithms, and the best criteria are …