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Title of Article

CLUSTERIZATION PROBLEM SOLUTION BY COMPETITIVE LEARNING FOR INCOMPLETE STATISTICAL DATA


Issue
1
Date
2010

Article type
scientific article
UDC
004.93'14:004.853
Pages
220-225
Keywords
clusterization, competitive learning, missing values in statistical data


Authors
Efimov A.S.
Nizhegorodskiy gosuniversitet im. N.I. Lobachevskogo


Abstract
A review of modern methods to restore missing values in incomplete statistical data has been presented. A procedure to combine statistical data clustering with the retrieval of missing values based on a modification of the Kohonen network competitive learning algorithm has been proposed. The efficiency of the proposed procedure has been demonstrated by solving a practical problem to determine individual target doses of radioiodine (131I) in the treatment of diffuse toxic goiter.

File (in Russian)