Anomaly Detection with Self-Organizing Maps and Effects of Principal Component Analysis on Feature Vectors

2009 ◽  
Author(s):  
Tevfik Kiziloren ◽  
Emin Germen
Keyword(s):  
Principal Component Analysis ◽  
Anomaly Detection ◽  
Principal Component ◽  
Component Analysis ◽  
Self Organizing Maps ◽  
Feature Vectors ◽  
Self Organizing

Assessing spatial variability of SO2 field as detected by an air quality network using Self-Organizing Maps, cluster, and Principal Component Analysis

2009 ◽  
Vol 43 (25) ◽  
pp. 3829-3836 ◽  
Author(s):  
Gabriel Ibarra-Berastegi ◽  
Jon Sáenz ◽  
Agustín Ezcurra ◽  
Unai Ganzedo ◽  
Javier Díaz de Argandoña ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Air Quality ◽  
Spatial Variability ◽  
Principal Component ◽  
Component Analysis ◽  
Self Organizing Maps ◽  
Self Organizing

scholarly journals Screening of Passiflora L. mineral content using principal component analysis and Kohonen self-organizing maps

2017 ◽  
Vol 233 ◽  
pp. 507-513 ◽  
Author(s):  
Cleber Galvão Novaes ◽  
Ivana Lago da Silva Romão ◽  
Berlane Gomes Santos ◽  
Jéssica Palhares Ribeiro ◽  
Marcos Almeida Bezerra ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Mineral Content ◽  
Principal Component ◽  
Component Analysis ◽  
Self Organizing Maps ◽  
Self Organizing

scholarly journals Evaluation of macro and micronutrient elements content from soft drinks using principal component analysis and Kohonen self-organizing maps

2019 ◽  
Vol 273 ◽  
pp. 9-14 ◽  
Author(s):  
Emanuela dos Santos Silva ◽  
Erik Galvão Paranhos da Silva ◽  
Daniélen dos Santos Silva ◽  
Cleber Galvão Novaes ◽  
Fábio Alan Carqueija Amorim ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Soft Drinks ◽  
Self Organizing Maps ◽  
Self Organizing
Sign in / Sign up

Export Citation Format

Share Document