Random forest as one-class classifier and infrared spectroscopy for food adulteration detection

Title
Random forest as one-class classifier and infrared spectroscopy for food adulteration detection
Authors
Keywords
One-class, Random forest, Artificial outliers, Food adulteration, Infrared spectroscopy
Journal
FOOD CHEMISTRY
Volume 293, Issue -, Pages 323-332
Publisher
Elsevier BV
Online
2019-04-27
DOI
10.1016/j.foodchem.2019.04.073

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started