Variable Selection Using Adaptive Band Clustering and Physarum Network
Variable selection is a key step for eliminating redundant information in spectroscopy. Among various variable selection methods, the physarum network (PN) is a newly-introduced and efficient one. However, the whole spectrum has to be equally divided into sub-spectral bands in PN. These division cri...
Main Authors: | Huanyu Chen, Tong Chen, Zhihao Zhang, Guangyuan Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-06-01
|
Series: | Algorithms |
Subjects: | |
Online Access: | http://www.mdpi.com/1999-4893/10/3/73 |
Similar Items
-
Étude des gènes de la famille HAP chez Physarum polycephalum
by: Lépine, Guylaine.
Published: (1989) -
Myxomycetes of Taiwan XXIV. The genus Physarum
by: Chin-Hui Liu, et al.
Published: (2013-09-01) -
A Rough Set Version of the Go Game on Physarum Machines
by: Andrew Schumann, et al.
Published: (2016-12-01) -
A study of developmentally-regulated mRNA populations in Physarum polycephalum
by: Michie, F. B.
Published: (1987) -
Optimization of Branched Water Distribution Systems by Means of a Physarum—Inspired Algorithm
by: Elias Koritsas, et al.
Published: (2018-08-01)