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Scientific journal of the
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The News of Altai State University
Print ISSN 1561-9443
On-line ISSN 1561-9451
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Content of 1-1(65) 2010
Management, Computer Facilities and Computer Science
Mathematics and Mechanics
Management, Computer Facilities and Computer Science

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O.N. Polovikova, V.V. Fokina

Use Euclidean and Manhetten Distances as Measures to Vicinity for Decision of the Problem to Categorizations

In given article is considered problem of the finding of the most beside object from a certain class to determined givenned object of the other class, which is actual for many application areas. Resemblance and difference between classified object is fixed depending on metric distance between them. Within the framework of study were used Euclidean distance and Manhattan distance as measures to vicinity between copy of the class (most general types of the distances).

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