The method to develop classifi ers based on geometrical interpretation of data structure

The method of supervised classification is suggested in the article. The method allows developing mathematical models of algorithms for computing estimates. It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.

Bibliographic Details
Main Author:	М. N. Nessonova
Format:	Article
Language:	English
Published:	Zaporozhye State Medical University 2014-04-01
Series:	Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki
Subjects:	supervised classification heterogeneous features multidimensional scaling correspondence analysis
Online Access:	http://pharmed.zsmu.edu.ua/article/view/24882/22345

id	doaj-fb58cea47ae6432daf5178fa180578bd
record_format	Article
spelling	doaj-fb58cea47ae6432daf5178fa180578bd2020-11-24T22:36:42ZengZaporozhye State Medical UniversityAktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki2306-80942409-29322014-04-01110110310.14739/2409-2932.2014.1.24882The method to develop classifi ers based on geometrical interpretation of data structureМ. N. Nessonova The method of supervised classification is suggested in the article. The method allows developing mathematical models of algorithms for computing estimates. It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure. http://pharmed.zsmu.edu.ua/article/view/24882/22345supervised classificationheterogeneous featuresmultidimensional scalingcorrespondence analysis
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	М. N. Nessonova
spellingShingle	М. N. Nessonova The method to develop classifi ers based on geometrical interpretation of data structure Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki supervised classification heterogeneous features multidimensional scaling correspondence analysis
author_facet	М. N. Nessonova
author_sort	М. N. Nessonova
title	The method to develop classifi ers based on geometrical interpretation of data structure
title_short	The method to develop classifi ers based on geometrical interpretation of data structure
title_full	The method to develop classifi ers based on geometrical interpretation of data structure
title_fullStr	The method to develop classifi ers based on geometrical interpretation of data structure
title_full_unstemmed	The method to develop classifi ers based on geometrical interpretation of data structure
title_sort	method to develop classifi ers based on geometrical interpretation of data structure
publisher	Zaporozhye State Medical University
series	Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki
issn	2306-8094 2409-2932
publishDate	2014-04-01
description	The method of supervised classification is suggested in the article. The method allows developing mathematical models of algorithms for computing estimates. It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.
topic	supervised classification heterogeneous features multidimensional scaling correspondence analysis
url	http://pharmed.zsmu.edu.ua/article/view/24882/22345
work_keys_str_mv	AT mnnessonova themethodtodevelopclassifiersbasedongeometricalinterpretationofdatastructure AT mnnessonova methodtodevelopclassifiersbasedongeometricalinterpretationofdatastructure
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The method to develop classifi ers based on geometrical interpretation of data structure

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