LoRaWAN Fingerprinting with K-Means: the Relevance of Clusters Visual Inspection.
Joaquín Torres-SospedraMichiel AernoutsAdriano J. C. MoreiraRafael BerkvensPublished in: ICL-GNSS (Work in Progress) (2022)
Keyphrases
- visual inspection
- k means
- clustering algorithm
- hierarchical clustering
- cluster analysis
- unsupervised clustering
- data clustering
- fuzzy k means
- image analysis
- agglomerative hierarchical clustering
- fuzzy clustering algorithm
- self organizing maps
- cluster centers
- clustering quality
- document clustering
- constrained clustering
- clustering method
- fuzzy clustering
- clustering approaches
- clustering framework
- fuzzy c means
- laser scanning
- kohonen self organizing maps
- text clustering
- normalized cut
- registration accuracy
- clustering result
- spectral clustering
- hierarchical clustering algorithm
- affinity propagation
- relevance feedback
- hierarchical agglomerative clustering
- information retrieval
- cluster structure
- clustering solutions
- initial cluster centers
- fluorescence microscopy images
- machine learning
- classical clustering algorithms
- kernel based clustering
- partitional clustering
- data points
- test collection