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Low frequency signal classification using clustering methods

The article considers the problem of low frequency signal classification, as sound or vibration pattern footprints may describe types of objects very well. In cases of a priori absence of object signal pattern information, the unsupervised learning methods based on clustering looks good enough for c...

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Bibliographic Details
Date:	2024
Main Authors:	Rahozin, D.V., Doroshenko, A.Yu.
Format:	Article
Language:	Ukrainian
Published:	PROBLEMS IN PROGRAMMING 2024
Subjects:	data classification unsupervised learning data clustering sound processing UDC 681.3
Online Access:	https://pp.isofts.kiev.ua/index.php/ojs1/article/view/606
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Journal Title:	Problems in programming
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