Improved Pathogen Recognition using Non-Euclidean Distance Metrics andWeighted kNN-Reference-Cited by-同舟云学术

Improved Pathogen Recognition using Non-Euclidean Distance Metrics andWeighted kNN

Published:2019-11-13 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 6th International Conference on Biomedical and Bioinformatics Engineering
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Author:

Tharmakulasingam Mukunthan¹,Topal Cihan²,Fernando Anil¹,La Ragione Roberto³

Affiliation:

1. Centre for Vision Speech and Signal Processing, University of Surrey, United Kingdom

2. CVSSP, University of Surrey, UK, Eskisehir Technical University, Turkey

3. School of Veterinary Medicine, University of Surrey, United Kingdom

Funder

Zoetis

Publisher

ACM

Reference18 articles.

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3. Clinical Application of Volatile Organic Compound Analysis for Detecting Infectious Diseases;Sethi S.;Clinical Microbiology Reviews,2013

4. V. B. S. Prasath H. A. A. Alfeilat O. Lasassmeh and A. B. A. Hassanat. 2107. "Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier - A Review". ArXiv170804321 Cs. V. B. S. Prasath H. A. A. Alfeilat O. Lasassmeh and A. B. A. Hassanat. 2107. "Distance and Similarity Measures Effect on the Performance of K-Nearest Neighbor Classifier - A Review". ArXiv170804321 Cs.

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