entire cryptocurrency market in 2018, using data analysis tools. Accordingly, we propose a new clustering-based methodology … between the clustering results, and other factors that are not involved in clustering. Particularly, the methodology involves … applying three different partitional clustering algorithms, where each of them use a different representation for …

) 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 …