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