The successive projections algorithm for variable selection in spectroscopic multicomponent analysis

By Mário César Ugulino de Araújo, T. C. B. Saldanha, Roberto Kawakami Harrop Galvão, T. Yoneyama, Henrique C. Chame, V. Visani. 2001

1,210 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biophysics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/6003997c8b8aa370b71238578c789a25c42c3e76

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Da‐Wen Sun
2. Hongbin Pu
3. Xin‐an Zeng
4. Shuxiang Fan
5. Wenqian Huang
6. Di Wu
7. Zhiwei Zhu
8. Liping Chen

In Biophysics

1. Da‐Wen Sun
2. Hongbin Pu
3. Nicolas Gillis
4. Zhiwei Zhu
5. Xin‐an Zeng
6. Jean-Michel Roger
7. Lu Wang
8. Di Wu

In Industrial and Manufacturing Engineering

1. Da‐Wen Sun
2. Nicolas Gillis
3. Wenchuan Guo
4. Edvan Cirino da Silva
5. A. Gomes
6. Jinlei Dong
7. Fan Zhao
8. Roberto Kawakami Harrop Galvão

Citations in the corpus

• A new family of genetic algorithms for wavelength interval selection in multivariate analytical spectroscopy (2003, methodology): “techniques (see Reference [14] and references cited therein).”
• Ripeness Classification of Astringent Persimmon Using Hyperspectral Imaging Technique (2014, neutral): “Feature wavelengths were selected by the SPA method, which starts with one wavelength, then incorporates a new one at each iteration, until a specified number (N) of wavelengths is reached (Araújo et al., 2001).”
• Classification of blue pen ink using infrared spectroscopy and linear discriminant analysis (2013, methodology): “The successive projections algorithm (SPA) [23–25], originally proposed for spectral variable selection in multiple linear regression (MLR) models, was adapted by Pontes et al.”
• Variable indicators for optimum wavelength selection in diffuse reflectance spectroscopy of soils (2016, background): “…for pH (Kinoshita et al., 2012; Tekin et al., 2012), OC (Bayer et al., 2012; Morgan et al., 2009; Stevens et al., 2006), Fe (Abdi et al., 2012; Bayer et al., 2012), sand content (Kinoshita et al., 2012; Viscarra Rossel and Webster, 2012), clay content (Ben-Dor and Banin, 1995; Brown et al.,…”
• Fruit Quality Evaluation Using Spectroscopy Technology: A Review (2015, methodology): “[26], SPA is a forward selection method searching for a group of variables with minimum redundant information and minimal collinearity through simple operations in a vector space.”
• Application of Electronic Nose with Multivariate Analysis and Sensor Selection for Botanical Origin Identification and Quality Determination of Honey (2015, methodology): “SPA is a variable selection algorithm designed to select variables with minimal redundancy (Araujo et al. 2001).”
• Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths (2017, methodology): “SPA was initially proposed by Araújo et al. (2001) as a technique for variable selection for multiple linear regression (MLR).”