… BPNN) based method is applied for 3D indoor localization in this work, where only received
… localization accuracy for 3D environment. For this reason, we propose a spectral clustering …

… ) clustering [11], k-means clustering [12], spectral clustering, etc. Cho Rong Park [13] adopted
the improved k-means clustering … Wang, “Research on indoor localization algorithm based …

… The work in [9] is an indoor localization system that makes use of the spectral information
of … clustering of data corresponding to each location (grid point) by maximizing the inter-cluster …

We introduce a new technique for determining a mobile phone's indoor location even when
Wi-Fi infrastructure is unavailable or sparse. Our technique is based on a new ambient …

… Abstract—In this article, a new indoor localization technique with extreme learning machine
(ELM) is proposed where only a small number of received signal strength indicator (RSSI) …

… Signal-domain clustering algorithm examples are spectral clustering and wavelet
clustering. This article will focus on location-domain clustering algorithms. Some …

… an indoor localization system using the cluster … localization accuracy based on 5 G signal
and using cluster KNN algorithm to reduce the computation effort but improve the localization …

… in this paper aim at global-scale indoor localization systems, where the learning data can …
seen with the clustering approaches, but the overall localization accuracy with the clustering …

… indoor localization, we provide a tutorial on basic techniques and technologies that are used
for indoor localization. … a wide range of opportunities for indoor localization. It is important to …

… by a Gaussian Mixture Model that clusters CSI and DoAs in a … the WKNN to perform indoor
localization to a high degree of … The WKNN is used in this work to perform indoor localization …