The description of metadata of the multidimensional information systems using test data of the characteristics of the observed phenomenon using a
large number of aspects, the multidimensional data cube, which
Multidimensional Information System Metadata Description Using the “Data Vault” Methodology by combining all
clusters. In case of a
large amount of aspects of analysis, a multidimensional data cube has
Sten score method and cluster analysis: identifying respondents vulnerable to drug abuse in sociological research. The authors compare sten score method and
cluster analysis as methods of processing
Geospatial Clustering in Smart City Resource Management: An Initial Step in the Optimisation of Complex Technical Supply SystemsKapanski, A. A.,
Klyuev, R. V.,
Boltrushevich, A. E.,
Sorokova, S. N.,
Efremenkov, E. A.,
Demin, A. Y.,
Martyushev, N. V. For
large cities with developing infrastructures, optimising water supply systems
plays a crucial
Stellar Mass—Halo Mass Relation and Star Formation Efficiency in High-Mass Halos into stars decreases with increasing
cluster mass. The low scatter is due to
large contribution of satellite
EVALUATION OF THE IMPACT OF CLUSTER STRUCTURES ON THE ECONOMY OF THE REGION within one administrative territory. The authors propose a hypothesis of positive influence of
cluster EVALUATION OF THE IMPACT OF CLUSTER STRUCTURES ON THE ECONOMY OF THE REGION within one administrative territory. The authors propose a hypothesis of positive influence of
cluster Localization of data references in blocked heterogeneous shortest paths algorithm for clustered graphs.
Such models include
clustered graphs consisting of weakly connected dense subgraphs (
clusters) of different
ПАРАЛЛЕЛЬНЫЕ АЛГОРИТМЫ K-MEANS: ОПТИМИЗАЦИЯ КЛАСТЕРИЗАЦИИClustering is a powerful data analysis method aimed at grouping objects in order to identify