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

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...

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Bibliographic Details
Published in:Proceedings - 2017 IEEE Conference on Systems, Process and Control, ICSPC 2017
Main Author: Samad M.E.M.; Ismail N.; Rahiman M.H.F.; Taib M.N.; Ali N.A.M.; Tajuddin S.N.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: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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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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