Supplementary materials for "RSS fingerprinting dataset size reduction using feature-wise adaptive k-means clustering"

  • Lucie Klus (Creator)
  • Darwin Quezada Gaibor ( Universitat Jaume I) (Creator)
  • Joaquın Torres-Sospedra ( Universitat Jaume I, Ubik Geospatial Solutions S.L.) (Creator)

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The file includes source code for the data size-reduction method described in "RSS fingerprinting dataset size reduction using feature-wise adaptive k-means clustering" (see https://ieeexplore.ieee.org/document/9222458 or https://zenodo.org/record/4091706#.X4irmWgzZPY), example dataset, and readme file with all necessary information.
Koska saatavilla1 syysk. 2020

Field of science, Statistics Finland

  • 213 Sähkö-, automaatio- ja tietoliikennetekniikka, elektroniikka
  • 1 Konferenssiartikkeli

  • RSS Fingerprinting Dataset Size Reduction Using Feature-Wise Adaptive k-Means Clustering

    Klus, L., Quezada-Gaibor, D., Torres-Sospedra, J., Lohan, E. S., Granell, C. & Nurmi, J., lokak. 2020, 2020 12th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2020. IEEE, s. 195-200 6 Sivumäärä (International Congress on Ultra Modern Telecommunications and Control Systems and Workshops; Vuosikerta 2020-October).

    Tutkimustuotos: Konferenssiartikkeli › Scientific › vertaisarvioitu

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