Analysis of distance metric variations in KNN for agarwood oil compounds differentiation

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Analysis of distance metric variations in KNN for agarwood oil compounds differentiation

This paper presents the analysis of distance metric variations in KNN for agarwood oil compounds differentiation. The work involved of the development of k-Nearest Neighbor (KNN) by varying the distance metrics. The input is abundances (%) of agarwood oil compounds and the output is agarwood oil qua...

書誌詳細
出版年:	Proceedings - 2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
第一著者:	2-s2.0-85050690023
フォーマット:	Conference paper
言語:	English
出版事項:	Institute of Electrical and Electronics Engineers Inc. 2017
オンライン･アクセス:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85050690023&doi=10.1109%2fSPC.2017.8313038&partnerID=40&md5=4e783dbad59a3418dbc443efc24dfa29

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