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The file includes supplementary data for "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets". If you would like to re-use the software provided please cite the two following items. - Klus, Lucie, Roman Klus, Joaquín Torres-Sospedra, Elena Simona Lohan, Carlos Granell, and Jari Nurmi. "EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets." IEEE Transactions on Mobile Computing (2023). - This Zenodo package: L. Klus et al. (2023). Supplementary materials for “EWOk: Towards Efficient Multidimensional Compression of Indoor Positioning Datasets”. version v1, 21.05.2023, [Online]. Available: https://doi.org/10.5281/zenodo.7954926 If you have any questions about this package, please do not hesitate to contact Lucie Klus (lucie.klus@tuni.fi or llucie.kklus@gmail.com).
fingerprinting, k-means, k-nearest neighbors, indoor positioning, compression, on-device computing, clustering, dimensionality reduction
fingerprinting, k-means, k-nearest neighbors, indoor positioning, compression, on-device computing, clustering, dimensionality reduction
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| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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