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Clustering of social network data by means of kohonen neural networks
Vakhitov G., Enikeeva Z., Ustin P., Davletshin N.
the clustering of these student profiles in the social network using the Kohonen neural network and revealed
Planck intermediate results: X. Physics of the hot gas in the Coma cluster
Ade P., Aghanim N., Arnaud M., Ashdown M., Atrio-Barandela F., Aumont J., Baccigalupi C., Balbi A., Banday A., Barreiro R., Bartlett J., Battaner E., Benabed K., Benoît A., Bernard J., Bersanelli M., Bikmaev I., Böhringer H., Bonaldi A., Bond J., Borrill J., Bouchet F., Bourdin H., Brown M., Brown S., Burenin R., Burigana C., Cabella P., Cardoso J., Carvalho P., Catalano A., Cayón L., Chiang L., Chon G., Christensen P., Churazov E., Clements D., Colafrancesco S., Colombo L., Coulais A., Crill B., Cuttaia F., Da Silva A., Dahle H., Danese L., Davis R., De Bernardis P., De Gasperis G., De Rosa A., De Zotti G., Delabrouille J., Démoclès J., Désert F., Dickinson C., Diego J., Dolag K., Dole H., Donzelli S., Doré O., Dörl U., Douspis M., Dupac X., Enßlin T., Eriksen H., Finelli F., Flores-Cacho I., Forni O., Frailis M., Franceschi E., Frommert M., Galeotta S., Ganga K., Génova-Santos R., Giard M., Gilfanov M.
We present an analysis of Planck satellite data on the Coma cluster observed via the Sunyaev
Tri- and tetranuclear molybdenum and tungsten chalcogenide clusters: On the way to new materials and catalysts
- and tetranuclear molybdenum and tungsten chalcogenide clusters are analyzed and integrated. The prospects
Clustering Narrow-Domain Short Texts using K-means, Linguistic Patterns and LSI
Danilova V. V., Svetlana Popova, Artem Egorov
Clustering Narrow-Domain Short Texts using K-means, Linguistic Patterns and LSI
Алгоритм кластеризации методом k-средних
Стремоус, М. А.
of this work is the implemention of the k-means clustering algorithm. As a result, there was a program in which
Cluster analysis of the Russian regions by the human capital development and digital resources factors
Maratovich G., Nailevich K., Alexandrovich K.
of clusters, several models were applied with the subsequent selection of the best number by means of the BIC
THE THIRD READING: A CLUSTER ANALYSIS
Chernyak A.
of this hypotheses that if the sentences in question are analyzed as clusters of reports all we need are two standard
ПАРАЛЛЕЛЬНЫЕ АЛГОРИТМЫ K-MEANS: ОПТИМИЗАЦИЯ КЛАСТЕРИЗАЦИИ
Казанцев Е.С.
Clustering is a powerful data analysis method aimed at grouping objects in order to identify
Human resource management features of an innovative cluster
Doronina I., Kulikova N., Razzhivin O., Kostyukhin Y., Silnov D., Sadovnikova N.
of the ownership forms change with means of production, orientation of reforms with the market methods of managing
Structural changes in the series of boron-carbon mixed clusters C xB10-x-(x = 3-10) upon substitution of boron by carbon
Popov I.A., Popov V.F., Bozhenko K.V., Černušák I., Boldyrev A.I.
We report a theoretical investigation on the ten-atom boron-carbon mixed clusters CxB10-x - (x = 3

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