Enhancing DBSCAN Clustering for Fingerprint-Based Localization With a Context Similarity Coefficient-Based Similarity Measure Metric
Author:
Affiliation:
1. Department of Informatics and Quantitative Methods, Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic
Funder
FIM Excellence project run at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/6287639/10380310/10643127.pdf?arnumber=10643127
Reference29 articles.
1. A Survey of the Performance-Limiting Factors of a 2-Dimensional RSS Fingerprinting-Based Indoor Wireless Localization System
2. Performance analysis of clustering-based fingerprinting localization systems
3. Enhancing Fingerprint Localization Accuracy With Inverse Weight-Normalized Context Similarity Coefficient-Based Fingerprint Similarity Metric
4. Overview of WiFi fingerprinting‐based indoor positioning
5. Improved Fingerprint-Based Localization Based on Sequential Hybridization of Clustering Algorithms
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