Performance analysis of adaptive K for weighted K-nearest neighbor based indoor positioning-Reference-Cited by-同舟云学术

Performance analysis of adaptive K for weighted K-nearest neighbor based indoor positioning

Published:2022-06 Issue: Volume: Page:
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Container-title:2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
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Author:

Liu Siyang¹,De Lacerda Raul¹,Fiorina Jocelyn¹

Affiliation:

1. Université Paris-Saclay, CNRS, CentraleSupélec,Laboratoire des Signaux et Systèmes,Gif-sur-Yvette,France

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860699.pdf?arnumber=9860699

Reference23 articles.

1. A comprehensive and reproducible comparison of clustering and optimization rules in wi-fi fingerprinting;torres-sospedra;IEEE Transactions on Mobile Computing,2020

2. The Analysis of Feature Selection with Machine Learning for Indoor Positioning

3. CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach

4. Wknn indoor wi-fi localization method using k-means clustering based radio mapping;siyang;2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring),2021

5. Toward a Dynamic K in K-Nearest Neighbor Fingerprint Indoor Positioning

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