@inproceedings{78ad1ba2626b4580971291dbb57dc4c7,
title = "Comprehensive survey of similarity measures for ranked based location fingerprinting algorithm",
abstract = "Ranked Based Fingerprinting uses only ordering indices instead of actual Wi-Fi RSS values in order to make the algorithm insensitive to devices. A key component of the RBF algorithm is a similarity measure which is used to compare and find the closest ranked fingerprints. Previous papers study a few similarity measures; here we study 49 similarity measures in a test with a benchmark with publicly available indoor positioning database. For different similarity measures the positioning accuracy varies from 15.80 m to 55.22 m. The top 3 similarity measures are Lorentzian, Hamming and Jaccard. Hamming and Jaccard similarity measures have been studied in other papers while Lorenzian had not been studied with that kind of problems.",
author = "Georgy Minaev and Ari Visa and Robert Piche",
note = "JUFOID=72210; International Conference on Indoor Positioning and Indoor Navigation ; Conference date: 01-01-1900",
year = "2017",
doi = "10.1109/IPIN.2017.8115922",
language = "English",
publisher = "IEEE",
booktitle = "Indoor Positioning and Indoor Navigation (IPIN), 2017 International Conference on",
}