Improved Kernel Entropy Composition Analysis method for transgenic cotton seeds recognition based on Terahertz Spectroscopy

• Published in: Chemometrics and intelligent laboratory systems Vol. 225; p. 104575
• Main Authors: Yi, Cancan, Tuo, Shuai, Zhang, Lei, Xiao, Han
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 15.06.2022
• Subjects: Cluster analysis; Kernel entropy composition analysis; Material identification; THz spectrum; Transgenic cotton seeds; Cluster analysis; Kernel entropy composition analysis; Material identification; Transgenic cotton seeds; THz spectrum

Terahertz (THz) Spectroscopy, featured by low energy, instantaneity and spectral fingerprint, is promising in material identification. Kernel Entropy Composition Analysis (KECA), different from the commonly used THz time-domain spectroscopy analysis methods of PCA and Kernel Principal Component Anal...