Please use this identifier to cite or link to this item:
https://elib.bsu.by/handle/123456789/233399| Title: | Principle components method in statistical classification and its efficiency |
| Authors: | Zhuk, E. E. |
| Keywords: | ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Математика ЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Кибернетика |
| Issue Date: | 2019 |
| Publisher: | Minsk : BSU |
| Citation: | Computer Data Analysis and Modeling: Stochastics and Data Science : Proc. of the Twelfth Intern. Conf., Minsk, Sept. 18-22, 2019. – Minsk : BSU, 2019. – P. 337-340. |
| Abstract: | The problem of reducing the dimensionality in statistical classification is studied. The case of the well-known Fisher model of multivariate normal (Gaussian) distribution mixture is considered. The average decrease of interclass distances square is presented as a new criterion of feature selection directly connected with the classification error probability. The stepwise discriminant analysis procedure based on this criterion is proposed |
| URI: | http://elib.bsu.by/handle/123456789/233399 |
| ISBN: | 978-985-566-811-5 |
| Appears in Collections: | 2019. Computer Data Analysis and Modeling : Stochastics and Data Science |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 337-340.pdf | 366,58 kB | Adobe PDF | View/Open |
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