THE FUATURE SPACE DIMENSIONALITY REDUCTION OF PLANT OBJECTS BASED ON FACTOR ANALYSIS
DOI:
https://doi.org/10.15588/1607-3274-2015-2-2Keywords:
factor analysis, feature space, spectral coefficients of brightness, feature, classifier.Abstract
A possibility of reducing the number of informative features for multispectral phytogenous data by means of the factor analysis methodis shown in the article. For investigation there were used real reflection coefficients of maize, bristlegrass and ambrosia. Prior to usage of the
factor analysis it was performed the procedure to verify an initial set of data for conformity with distribution by the normal distribution law.
The factor analysis was conducted separately for three plants: maize, bristlegrass and ambrosia. Sizes of a new space were set for each plant,
and also there was given quality estimation of correlation between elements of a new and initial space of the data. Transfer to new features was executed provided that a level of informativeness was maintained at a level of 80% minimum in comparison with the initial set of data. For
each plant species the procedure of verification of the feature number choice correctness was performed by calculating of generalities. The
obtained results can be used to construct plant objects classifier.
References
Загоруйко Н.Г. Методы распознавания и их применение / Н. Г. Загоруйко. – М. : Сов. радио, 1972. – 270 c. 2. Дуда Р. Распознавание образов и анализ сцен / Р. Дуда, П. Харт. – М. : Мир, 1976. – 326 с. 3. Харман Г. Современный факторный анализ / Г. Харман. – М. : Статистика, 1972. – 488 с. 4. Бююль А. SPSS: Искусство обработки информации. Анализ статистических данных и восстановление скрытых закономерностей / А. Бююль, П. Цeфель. – СПб.: ООО «ДиаСофтЮП», 2002. – 603 с. 5. Факторный, дискриминантный и кластерный анализ: пер. с англ. / [Дж.-О. Ким, Ч. У. Мьюллер, У. Р. Клекка и др.; под ред. И. С. Енюкова. – М. : Финансы и статистика, 1989. – 215 с. 6. Прикладная статистика. Классификация и снижение размерности. Справочное издание/ [С. А. Айвазян, В. М. Бухштабер, И. С. Енюков, Л. Д. Мешалкин]. – М. : Финансы и статистика, 1989. – 607 с.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2015 E. О. Shama
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Creative Commons Licensing Notifications in the Copyright Notices
The journal allows the authors to hold the copyright without restrictions and to retain publishing rights without restrictions.
The journal allows readers to read, download, copy, distribute, print, search, or link to the full texts of its articles.
The journal allows to reuse and remixing of its content, in accordance with a Creative Commons license СС BY -SA.
Authors who publish with this journal agree to the following terms:
-
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License CC BY-SA that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
-
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.
-
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.
