Improved indoor localization using k‐medoids and k‐nearest neighbour algorithms with context similarity coefficient‐based fingerprint similarity metric
Abstract Fingerprint database clustering and localization using k‐medoids and k‐nearest neighbour (k‐NN) algorithms respectively typically use distance‐based fingerprint similarity metrics, with their performances dependent on the type of distance metric used. This paper proposes employing a pattern...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2024-11-01
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| シリーズ: | The Journal of Engineering |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1049/tje2.70023 |
| タグ: |
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