Tuning preprocessing parameters and kNN hyperparameters on a public Sigfox dataset reduces mean localization error from 344 to 298 meters, with median error 109 meters.
A survey of experimental evaluation in indoor localization research,
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A Reproducible Analysis of RSSI Fingerprinting for Outdoor Localization Using Sigfox: Preprocessing and Hyperparameter Tuning
Tuning preprocessing parameters and kNN hyperparameters on a public Sigfox dataset reduces mean localization error from 344 to 298 meters, with median error 109 meters.