Agarwood Oil Grade Clustering of Aquilaria malaccensis Species using Extraction by GC-MS Analysis: Efficient KNN Algorithm Based on Patterns Visualization of Two-dimensional Graph

Agarwood Oil Grade Clustering of Aquilaria malaccensis Species using Extraction by GC-MS Analysis: Efficient KNN Algorithm Based on Patterns Visualization of Two-dimensional Graph

Data visualization pattern is an essential task in data analysis. A two-dimensional graph (2D graph) is one of the graphical presentations for data visualization. Over the past decades, Agarwood Oil grade clustering is still at a disadvantage since there is no official standard grading system. Most...

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Bibliographic Details
Published in:Malaysian Journal of Chemistry
Main Author: Huzir S.M.H.; Al-Hadi A.H.I.H.; Zaidi A.H.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Format: Article
Language:English
Published: Malaysian Institute of Chemistry 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85186971383&doi=10.55373%2fmjchem.v26i1.324&partnerID=40&md5=e952e4a2941d4f2b92e7ed747720ed7a

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