Jirapat  Sangthong, Sathaporn  Promwong, 
    An Improvement of Indoor Navigation System Based on
Fingerprinting Technique Using K-Means Clustering Algorithm,
    Journal of Engineering and Applied Sciences,
    Volume 12,Issue 5,
    2017,
    Pages 1192-1199,
    ISSN 1816-949x,
    jeasci.2017.1192.1199,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2017.1192.1199)
    Abstract: Indoor navigation system is the one of interesting application among the researchers in an indoor environment due to the meter-level accuracy requirement in complex structure. This research proposed an improvement of the indoor navigation system based on fingerprinting technique by using K-Means (KM) clustering algorithm. The unknown positions are estimated by using Least Square (LS) and K-Nearest Neighbor (KNN) algorithms. The experimental results show the performance comparison between no-clustering case and KM-clustering case. Finally, we found that the KM clustering algorithm can be improved the accuracy of indoor navigation system both LS and KNN algorithm.
    Keywords: Indoor navigation system;fingerprinting technique;K-Means (KM);clustering algorithm;Least Square (LS);K-Nearest Neighbor (KNN)