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Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift

Research article (International Journal of Distributed Sensor Networks, 2017) · cited 19× · AI/ML
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Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift

Summary

Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift is a scholarly article[1].

Key Facts

  • Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift. Retrieved May 24, 2026, from https://4ort.xyz/entity/bluetooth-positioning-based-on-weighted-k-nearest-neighbors-and-adaptive-bandwidth-mean-shift
MLA “Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/bluetooth-positioning-based-on-weighted-k-nearest-neighbors-and-adaptive-bandwidth-mean-shift.
BibTeX @misc{4ortxyz_bluetooth-positioning-based-on-weighted-k-nearest-neighbors-and-adaptive-bandwidth-mean-shift_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift}}, year = {2026}, url = {https://4ort.xyz/entity/bluetooth-positioning-based-on-weighted-k-nearest-neighbors-and-adaptive-bandwidth-mean-shift}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Bluetooth positioning based on weighted K-nearest neighbors and adaptive bandwidth mean shift — https://4ort.xyz/entity/bluetooth-positioning-based-on-weighted-k-nearest-neighbors-and-adaptive-bandwidth-mean-shift (retrieved 2026-05-24)

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