Unsupervised Learning Approaches for User Clustering in NOMA enabled Aerial SWIPT Networks.
Jingjing CuiMohammad Bariq KhanYansha DengZhiguo DingArumugam NallanathanPublished in: SPAWC (2019)
Keyphrases
- unsupervised learning
- cluster analysis
- data mining tasks
- data clustering
- k means
- social networks
- object recognition
- user interface
- feature selection
- clustering method
- semi supervised
- supervised learning
- data mining techniques
- user feedback
- network structure
- user satisfaction
- clustering approaches
- heterogeneous networks
- data sets
- self organizing maps
- user preferences
- user interaction
- text mining
- end users
- recommender systems
- similarity measure
- machine learning