WiFi-based Positioning System with k-means Clustering and Outlier Removal: Evidence from Multiple Datasets-Reference-Cited by-同舟云学术

WiFi-based Positioning System with k-means Clustering and Outlier Removal: Evidence from Multiple Datasets

Published:2023-12-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 12th International Symposium on Information and Communication Technology
language:
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Author:

Pham-Hai Dang¹^ORCID,Duong-Bao Ninh²^ORCID,He Jing²^ORCID,Nguyen Thi Luong¹^ORCID,Lee Seon-Woo³^ORCID,Nguyen-Huu Khanh¹^ORCID

Affiliation:

1. Dalat University, Viet Nam

2. Hunan University, China

3. Hallym University, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3628797.3628920

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5. Nguyen , T.-S. and Huynh , T . -H. 2016. Experimental study of trilateration algorithms for ultrasound-based positioning system on QNX RTOS . In 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR), 210-215 . Nguyen, T.-S. and Huynh, T.-H. 2016. Experimental study of trilateration algorithms for ultrasound-based positioning system on QNX RTOS. In 2016 IEEE International Conference on Real-time Computing and Robotics (RCAR), 210-215.