APPLICATION LORENTZ METRICS IN PATTERN RECOGNITION
Abstract
The development of technologies and technologies has revolutionized the world of science, in particular, the emergence of only one computing technology has given new impetus to science and led to the discovery of various innovations. Nowadays, the integration of science into the world of science allows us to judge the emergence of new ideas and the optimality of the past. In this article, we first reviewed the literature for foreign publications on the topic under study and compared the Lorentz metric with Euclidean space as an example in formulas and illustrations. Using the Lorentz metric, we created a new model recognition algorithm and checked the database to verify the effectiveness of this algorithm. As a result of the experiment, the algorithm created by the Lorentz metric was compared with classical algorithms, namely Bayes algorithms, kNN and similar ones, and then presented specific results.
About the Authors
Y. R. Kerimbekov
International Kazakh – Turkish University named after Khoja Ahmed Yassaui
Kazakhstan
Kazakhstan
Turkestan
Y. S. Seiitkamal
International Kazakh – Turkish University named after Khoja Ahmed Yassaui
Kazakhstan
Kazakhstan
Turkestan
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Review
For citations:
Kerimbekov Y.R., Seiitkamal Y.S. APPLICATION LORENTZ METRICS IN PATTERN RECOGNITION. Vestnik of M. Kozybayev North Kazakhstan University. 2019;(1 (42)):203-209. (In Kazakh)
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