RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering
Channel: A-WEAR
Date: 2020-10-29

The presentation of the paper "RSS ﬁngerprinting dataset size reduction using feature-wise adaptive k-means clustering" was presented as a part of online conference ICUMT 2020 in October. The work deals with RSS dataset processing in order to compress its size and improve the positioning accuracy.

For more details: http://ieeexplore.ieee.org/document/9222458

This project has received funding from the European Union’s Horizon 2020 (H2020) Marie Sklodowska-Curie Innovative Training Networks H2020-MSCA-ITN-2018 call, under the Grant Agreement no 813278.

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