Abstract
An approach for clustering projects based on original algorithms and focused on assessing the information weight of groups of project attributes is proposed. To assess the similarity and difference between objects by the composition of features, operations with sets (intersection, difference, union, relation) and calculation of the similarity measure of Jacquard are used. Graphs constructed according to logical inclusion (absorption) matrices are used to visually represent the relationships between objects according to the selected characteristics.
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