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Sila Kittiwachana. A comparison of principal component analysis (PCA) and self-organizing map (SOM) for exploratory data analysis of near-infrared reflectance (NIR) spectra of rice grains. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2016.
A comparison of principal component analysis (PCA) and self-organizing map (SOM) for exploratory data analysis of near-infrared reflectance (NIR) spectra of rice grains
Name: Sakunna Wongsaipun
Organization :
Chiang Mai University. Faculty of Science
Name: Grissana Sudtasarn
Organization :
Ubon Ratchathani Rice Research Center
Name: Sila Kittiwachana
Organization :
Chiang Mai University. Faculty of Science
Email :
silacmu@gmail.com
keyword:
Rice grain
LCSH:
Self-organizing maps
Abstract:
The aim of this research was to exploratorily analyze near-infrared (NIR) spectra from
rice grain samples using principal component analysis (PCA) and self-organizing map
(SOM). Twenty-four varieties of rice samples were analyzed by reflectance NIR
spectroscopy resulting in a total of 360 spectra measuring in the range of 1000-2500 nm.
Before the chemometric analyzes, the NIR spectra were pretreated using several data preprocessing
methods such as the 1st, 2nd derivatives and standard normal variant (SNV). It
could be seen that PCA could not effectively capture the variation between groups of the
samples since overlapping between the samples clusters was observed in PCA scores plots.
On the other hand, SOM could provide the satisfactory results. According to supervised color
shading of SOM with the 2nd derivative, it was possible to distinguish the difference between
the rice varieties. In addition, the behaviors of some significant parameters could be
investigated using SOM component planes. The results implied that SOM was more suitable
to apply for the analysis of the NIR data in this study.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2016
Modified:
2562-10-10
Issued:
2019-10-10
บทความ/Article
application/pdf
BibliograpyCitation :
In Chemical Society of Thailand under the Patronage of Professor Dr. HRH Princess Chulabhorn and Chulalongkorn University Faculty of science. Pure and Applied Chemistry International Conference (PACCON 2016) (pp.89-94). Bangkok : Chemical Society of Thailand under the Patronage of Professor Dr. HRH Princess Chulabhorn
eng
©copyrights King Mongkut's University of Technology North Bangkok
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ใช้เวลา
0.03609 วินาที
Sakunna Wongsaipun
| Title | Contributor | Type |
|---|---|---|
| A comparison of principal component analysis (PCA) and self-organizing map (SOM) for exploratory data analysis of near-infrared reflectance (NIR) spectra of rice grains
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sakunna Wongsaipun;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article | |
| Detection and quantification of adulteration in Khao Dawk Mali 105 rice using near-infrared spectroscopy coupled with chemometrics
มหาวิทยาลัยเชียงใหม่ Sakunna Wongsaipun | Rattikan Chantiwas Parichat Theanjumpol Jaroon Jakmunee Kongkiat Trisuwan Sulawan Kaowphong Sila Kittiwachana | วิทยานิพนธ์/Thesis |
Grissana Sudtasarn
| Title | Contributor | Type |
|---|---|---|
| A comparison of principal component analysis (PCA) and self-organizing map (SOM) for exploratory data analysis of near-infrared reflectance (NIR) spectra of rice grains
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sakunna Wongsaipun;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article | |
| Determination of amylose contents in rice grains using near infrared reflectance spectroscopy (NIRS) and supervised self-organizing map (SOM)
มหาวิทยาลัยเทคโนโลยีพระจอมเกล้าพระนครเหนือ Sujitra Funsueb;Grissana Sudtasarn;Sila Kittiwachana | บทความ/Article |
Sila Kittiwachana