Formulation of K-nearest neighbor model by varying the distance metrics of mahalanobis, correlation and cosine in discriminating different grades of Aquilaria oil
This study formulates a K-Nearest Neighbor (K-NN) model for the classification of Aquilaria (agarwood) oil grades by varying distance metrics: Mahalanobis, Correlation and Cosine. A total of 96 agarwood oil samples were analyzed using Gas chromatography-mass spectrometry (GC-MS), identifying key che...
| 出版年: | JOURNAL OF ESSENTIAL OIL BEARING PLANTS |
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| 主要な著者: | , , , |
| フォーマット: | Article; Early Access |
| 言語: | English |
| 出版事項: |
TAYLOR & FRANCIS LTD
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001437517500001 |