Abstract
A new method of preprocessing spectral data for extraction of molecular structural information is desired. This SELECT method generates orthogonal features that are important for classification purposes and that also retain their identity to the original measurements. A brief introduction to chemical pattern recognition is presented. A brief description of the method and an application to mass spectral data analysis follow. (BLM)
Citation Formats
Kowalski, B R, and Bender, C F.
Orthogonal feature selection method. [For preprocessing of man spectral data].
United Kingdom: N. p.,
1976.
Web.
doi:10.1016/0031-3203(76)90023-6.
Kowalski, B R, & Bender, C F.
Orthogonal feature selection method. [For preprocessing of man spectral data].
United Kingdom.
https://doi.org/10.1016/0031-3203(76)90023-6
Kowalski, B R, and Bender, C F.
1976.
"Orthogonal feature selection method. [For preprocessing of man spectral data]."
United Kingdom.
https://doi.org/10.1016/0031-3203(76)90023-6.
@misc{etde_7156749,
title = {Orthogonal feature selection method. [For preprocessing of man spectral data]}
author = {Kowalski, B R, and Bender, C F}
abstractNote = {A new method of preprocessing spectral data for extraction of molecular structural information is desired. This SELECT method generates orthogonal features that are important for classification purposes and that also retain their identity to the original measurements. A brief introduction to chemical pattern recognition is presented. A brief description of the method and an application to mass spectral data analysis follow. (BLM)}
doi = {10.1016/0031-3203(76)90023-6}
journal = []
volume = {8}
journal type = {AC}
place = {United Kingdom}
year = {1976}
month = {Jan}
}
title = {Orthogonal feature selection method. [For preprocessing of man spectral data]}
author = {Kowalski, B R, and Bender, C F}
abstractNote = {A new method of preprocessing spectral data for extraction of molecular structural information is desired. This SELECT method generates orthogonal features that are important for classification purposes and that also retain their identity to the original measurements. A brief introduction to chemical pattern recognition is presented. A brief description of the method and an application to mass spectral data analysis follow. (BLM)}
doi = {10.1016/0031-3203(76)90023-6}
journal = []
volume = {8}
journal type = {AC}
place = {United Kingdom}
year = {1976}
month = {Jan}
}