Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems
We introduce a study in depth of distance/similarity measures for indoor location. Alternative measures provide better results than commonly used Euclidean distance. Choosing an appropriate non-linear representation is crucial for intensity values. Very low intensity values are representative and they should not be filtered. All the experiments are validated with a public database, so they are reproducible.
similarity measures wi-fi fingerprint indoor localization distance measures k-nn