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

Authors

  • М. N. Nessonova

DOI:

https://doi.org/10.14739/2409-2932.2014.1.24882

Keywords:

supervised classification, heterogeneous features, multidimensional scaling, correspondence analysis

Abstract

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.

References

Кобринский Б.А. Проблема взаимопонимания: термины и определения в медицинской информатике / Б.А. Кобринский // Врач и информационные технологии. – 2009. – № 1. – С. 51–52.

Халафян А.А. Анализ и синтез медицинских систем поддержки принятия решений на основе технологий статистического моделирования : автореф. дис. на соискание ученой степени д.т.н. / А.А. Халафян. – Краснодар, 2010. – 47 с.

Ахутин В.М. Оценка качества формализованных медицинских документов / В.М. Ахутин, В.В. Шаповалов, М.О. Иоффе // Медицинская техника. – М., 2001. – №2. – С. 27–31.

Поворознюк А.И. Система поддержки принятия решения в медицине на основе синтеза структурированных моделей объектов диагностики / А.И. Поворознюк // Научные ведомости БелГУ. Серия: История. Политология. Экономика. Информатика. – 2009. – №12-1. – Режим доступа: http://cyberleninka.ru/article/n/sistema-podderzhki-prinyatiya-resheniya-v-meditsine-na-osnove-sinteza-strukturirovannyh-modeley-obektov-diagnostiki.

Greenacre M. Correspondence Analysis in Practice, Second Edition / M. Greenacre. – London : Chapman & Hall/CRC, 2007.

Дэйвисон М. Многомерное шкалирование: методы наглядного представления даннях / М. Дэйвисон. – М. : Финансы и статистика, 1988. – 254 с.

Downloads

How to Cite

1.
Nessonova МN. The method to develop classifi ers based on geometrical interpretation of data structure. Current issues in pharmacy and medicine: science and practice [Internet]. 2014May23 [cited 2024Nov.23];(1). Available from: http://pharmed.zsmu.edu.ua/article/view/24882

Issue

No. 1 (2014)

Section

Proceedings of scientific conferences

License

Authors who publish with this journal agree to the following terms:

    1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.     Лицензия Creative Commons
    2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
    3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access)