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

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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 2024Dec.23];(1). Available from: http://pharmed.zsmu.edu.ua/article/view/24882

Issue

No. 1 (2014)

Section

Proceedings of scientific conferences

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