A Novel Clustering Algorithm for Wi-Fi Indoor Positioning

A Novel Clustering Algorithm for Wi-Fi Indoor Positioning

In recent years, the Wi-Fi-based indoor positioning technology has become a research hotspot. This technology mainly locates the indoor Wi-Fi based on the received signal strength indicator (RSSI) signals. The most popular Wi-Fi positioning algorithm is the k-nearest neighbors (KNN) algorithm. Due t...

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Bibliographic Details
Main Authors: Jin Ren, Yunan Wang, Changliu Niu, Wei Song, Songyang Huang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wi-Fi
indoor positioning
improved public c-means (IPC) clustering algorithm
the k-nearest neighbors (KNN) algorithm
Online Access:https://ieeexplore.ieee.org/document/8812713/

Internet

https://ieeexplore.ieee.org/document/8812713/

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