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Algorithm BIDIMS for Automated Systematization of Data Array. Case Study: Rediscovering Mendeleev's Periodic Table of Chemical Elements Full article

Journal International Journal on Information Theory and Applications
ISSN: 1310-0513 , E-ISSN: 1313-0463
Output data Year: 2004, Volume: 11, Number: 4, Pages: 309-318 Pages count : 10
Tags bidimensional structure, data mining, ordering, prediction, approximation
Authors Zagoruiko Andrey 1 , Zagoruiko Nikolay 2
Affiliations
1 Institute of Catalysis of SD RAS, Russia, 630090, Novosiborsk, pr. Lavrentieva, 5
2 Institute of Mathematics SD RAS, Russia, 630090, Novosibirsk, pr. Koptyug, 4

Funding (1)

1 Russian Foundation for Basic Research 02-01-00082

Abstract: The method (algorithm BIDIMS) of multivariate objects display to bidimensional structure in which the sum of differences of objects properties and their nearest neighbors is minimal is being described. The basic regularities on the set of objects at this ordering become evident. Besides, such structures (tables) have high inductive opportunities: many latent properties of objects may be predicted on their coordinates in this table. Opportunities of a method are illustrated on an example of bidimentional ordering of chemical elements. The table received in result practically coincides with the periodic Mendeleev table.
Cite: Zagoruiko A. , Zagoruiko N.
Algorithm BIDIMS for Automated Systematization of Data Array. Case Study: Rediscovering Mendeleev's Periodic Table of Chemical Elements
International Journal on Information Theory and Applications. 2004. V.11. N4. P.309-318. РИНЦ
Identifiers:
Elibrary: 21118510
Citing: Пока нет цитирований