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.
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| Format: | Article |
| Language: | English |
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Zaporizhzhia State Medical and Pharmaceutical University
2014-04-01
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| Series: | Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki |
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| Online Access: | http://pharmed.zsmu.edu.ua/article/view/24882/22345 |
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| _version_ | 1849397903369437184 |
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| author | М. N. Nessonova |
| author_facet | М. N. Nessonova |
| author_sort | М. N. Nessonova |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-fb58cea47ae6432daf5178fa180578bd |
| institution | Kabale University |
| issn | 2306-8094 2409-2932 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Zaporizhzhia State Medical and Pharmaceutical University |
| record_format | Article |
| series | Aktualʹnì Pitannâ Farmacevtičnoï ì Medičnoï Nauki ta Praktiki |
| spelling | doaj-art-fb58cea47ae6432daf5178fa180578bd2025-08-20T03:38:48ZengZaporizhzhia State Medical and Pharmaceutical 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. NessonovaThe 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 |
| 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 |
| title | 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_short | 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 |
| 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 |