Use of Factor Analysis in Pattern Recognition
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41310%2F18%3A78816" target="_blank" >RIV/60460709:41310/18:78816 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1088/1742-6596/1065/17/172003" target="_blank" >http://dx.doi.org/10.1088/1742-6596/1065/17/172003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1088/1742-6596/1065/17/172003" target="_blank" >10.1088/1742-6596/1065/17/172003</a>
Alternative languages
Result language
angličtina
Original language name
Use of Factor Analysis in Pattern Recognition
Original language description
Pattern recognition deals with obtaining and processing certain data on objects in the real world aimed at characterizing their common properties and classifying them with respect to these properties into classes. This paper deals with a method of pattern recognition with respect to the basic position of images. Factor analysis is used for classification. Factor analysis is a special statistical method using the same features and pattern classes as in discriminant analysis. The m dimensional vector is an input parameter. The method can classify into n groups of patterns. Pattern recognition can work in real time.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Physics: Conference Series
ISSN
1742-6588
e-ISSN
1742-6588
Volume of the periodical
1065
Issue of the periodical within the volume
17
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
4
Pages from-to
1-4
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85057458329