Performance comparison of k nearest neighbor classifier with different distance functions

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Performance comparison of k nearest neighbor classifier with different distance functions

In the field of pattern recognition, K Nearest Neighbor is the classifier algorithm that use distance function to measure similarity between two samples. The well-known distance function used is the Euclidean distance which sees all samples including noisy or outliers with equal important. Euclidean...

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Bibliographic Details
Published in:	AIP Conference Proceedings
Main Author:	Mukahar N.
Format:	Conference paper
Language:	English
Published:	American Institute of Physics 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188428801&doi=10.1063%2f5.0192229&partnerID=40&md5=a5c61175518729d3d2350a9798e65ad9

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