A Comprehensive and Reproducible Comparison of Clustering and Optimization Rules in Wi-Fi Fingerprinting
Joaquín Torres-Sospedra(Universitat Jaume I), Joaquı́n Huerta(Universitat Jaume I), Philipp Richter(Tampere University), Germán Martín Mendoza-Silva(Universitat Jaume I), Elena Simona Lohan(Tampere University), Adriano Moreira(University of Minho), Miguel Matey-Sanz(Universitat Jaume I), Sergio Trilles(Universitat Jaume I)
Cited by 59
Related Papers
Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems
|Expert Systems with Applications|2015|273
Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review
|Applied Sciences|2020|200
Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience
|ISPRS International Journal of Geo-Information|2016|166
New Trends in Using Augmented Reality Apps for Smart City Contexts
|ISPRS International Journal of Geo-Information|2018|95