Filter Feature Selection for Unsupervised Clustering of Designer Drugs Using DFT Simulated IR Spectra Data-Reference-Cited by-同舟云学术

Filter Feature Selection for Unsupervised Clustering of Designer Drugs Using DFT Simulated IR Spectra Data

Published:2021-11-16 Issue:47 Volume:6 Page:32151-32165
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

He Kedan¹^ORCID

Affiliation:

1. Department of Physical Sciences, School of Arts and Sciences, Eastern Connecticut State University, Willimantic, Connecticut 06226, United States

Funder

Division of Chemistry

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c04945

Reference53 articles.

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2. “Title 21 United States Code (USC) Controlled Substances Act” United States Drug Enforcement Administration. https://www.dea.gov/controlled-substances-act. (accessed Mar 2021).

3. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies

4. Recent development in the application of analytical techniques for the traceability and authenticity of food of plant origin

5. The Quality Control of Tea by Near-Infrared Reflectance (NIR) Spectroscopy and Chemometrics

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