Data reclassification of multidimensional information system designed using cluster method of metadata description

The structure of a multidimensional data cube is determined by the aspects of analysis that are used. It is considered as static. If the observed phenomenon changes, the structure of the cube must also be changed. The structure also changes if it is necessary to analyze the data in accordance with the new requirements. In this paper we consider the problem of data reclassification of a multidimensional information system, the results of which should be presented in a cluster form. Cluster description of the structure of a multidimensional data cube is based on identification of groups of members which are connected with groups of members of other dimensions. The use of cluster description allows to identify the semantics of a multidimensional data cube. © Springer Nature Switzerland AG 2018.