Similarity measure method based on spectra subspace and locally linear embedding algorithm

Due to the high dimensionality, redundancy, noise and nonlinearity of the near infrared (NIR) spectra data result the difficulty of the similarity measure. This paper presented a similarity measure method SSLLE based on the spectra subspace and locally linear embedding (LLE) algorithm. Firstly, we d...

Full description

Bibliographic Details

Published in:	Infrared physics & technology Vol. 100; pp. 57 - 61
Main Authors:	Qin, Yuhua, Duan, Kai, Wu, Lijun, Xu, Baoding
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2019
Subjects:	Geodesic distance Locally linear embedding algorithm Near infrared spectroscopy Similarity measure Spectra subspace Near infrared spectroscopy Geodesic distance Locally linear embedding algorithm Similarity measure Spectra subspace
ISSN:	1350-4495, 1879-0275
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!