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Evaluating the utility of mid-infrared spectral subspaces for predicting soil properties
We propose four methods for finding local subspaces in large spectral libraries. The proposed four methods include (a) cosine angle spectral matching; (b) hit quality index spectral matching; (c) self-organizing maps and (d) archetypal analysis methods. Then evaluate prediction accuracies for global...
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| 出版年: | Chemometr Intell Lab Syst |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4834557/ https://ncbi.nlm.nih.gov/pubmed/27110048 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.chemolab.2016.02.013 |
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