发布求助
文献互助 智能选刊 最新文献

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

Q4 Materials Science
Malaysian Journal of Chemistry Pub Date : 2024-02-26 DOI:10.55373/mjchem.v26i1.324
{"title":"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","authors":"","doi":"10.55373/mjchem.v26i1.324","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":37260,"journal":{"name":"Malaysian Journal of Chemistry","volume":"237 2","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Malaysian Journal of Chemistry","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.55373/mjchem.v26i1.324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Materials Science","Score":null,"Total":0}
引用次数: 0
分享
查看原文 本刊更多论文
利用 GC-MS 分析提取 Aquilaria malaccensis 种类的沉香木油等级聚类：基于二维图形模式可视化的高效 KNN 算法
本文章由计算机程序翻译，如有差异，请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Malaysian Journal of Chemistry
Malaysian Journal of Chemistry Materials Science-Materials Chemistry
CiteScore
0.50
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信